ACL2025 论文笔记 TODO

总计: 2835 篇 | 已完成: 2358 | 待更新: 477

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• "Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization | arXiv: 2411.02355
• 500xcompressor generalized prompt compression for large language models | arXiv: 2408.03094
• a case study of cross-lingual zero-shot generalization for classical languages i | arXiv: 2505.13173
• a comprehensive graph framework for question answering with mode-seeking prefere | arXiv: 2506.17951
• a conformal risk control framework for granular word assessment and uncertainty | arXiv: 2504.01225
• a drop-in solution for on-the-fly adaptation of speculative decoding in large la
• a dual-mind framework for strategic and expressive negotiation agent
• a dual-perspective nlg meta-evaluation framework with automatic benchmark and be | arXiv: 2502.12052
• a general knowledge injection framework for icd coding | arXiv: 2505.18708
• a generative adaptive replay continual learning model for temporal knowledge gra
• a large and balanced corpus for fine-grained arabic readability assessment | arXiv: 2502.13520
• a large-scale real-world evaluation of llm-based virtual teaching assistant | arXiv: 2506.17363
• a little human data goes a long way | arXiv: 2410.13098
• a measure of the system dependence of automated metrics | arXiv: 2412.03152
• a mismatched benchmark for scientific natural language inference | arXiv: 2506.04603
• a modular approach for clinical slms driven by synthetic data with pre-instructi
• a modular dataset to demonstrate llm abstraction capability | arXiv: 2503.17645
• a multi-agent framework for mitigating dialect biases in privacy policy question | arXiv: 2506.02998
• A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems | arXiv: 2506.02998
• a multi-persona framework for argument quality assessment
• a mutual information perspective on knowledge graph embedding
• a new formulation of zipfs meaning-frequency law through contextual diversity
• a parameter-efficient and fine-grained prompt learning for vision-language model
• a practical approach for building production-grade conversational agents with wo | arXiv: 2505.23006
• a reality check on context utilisation for retrieval-augmented generation | arXiv: 2412.17031
• a representation level analysis of nmt model robustness to grammatical errors | arXiv: 2505.21224
• a retrieval-based approach to medical procedure matching in romanian | arXiv: 2503.20556
• a rose by any other name llm-generated explanations are good proxies for human e | arXiv: 2412.13942
• a self-denoising model for robust few-shot relation extraction
• a semantic-aware layer-freezing approach to computation-efficient fine-tuning of | arXiv: 2406.11753
• a semi-supervised scalable unified framework for e-commerce query classification | arXiv: 2506.21049
• A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression | arXiv: 2412.17483
• a spatio-temporal point process for fine-grained modeling of reading behavior | arXiv: 2506.19999
• a statistical and multi-perspective revisiting of the membership inference attac
• a strategic coordination framework of small lms matches large lms in data synthe
• a survey of automatic prompt optimization with instruction-focused heuristic-bas | arXiv: 2502.18746
• a survey of large language models in psychotherapy current landscape and future | arXiv: 2502.11095
• a survey of llm-based agents in medicine how far are we from baymax | arXiv: 2502.11211
• a survey of post-training scaling in large language models
• A Survey on Efficient Large Language Model Training: From Data-centric Perspectives | arXiv: 2510.25817
• A Survey on Foundation Language Models for Single-cell Biology
• A Survey on Patent Analysis: From NLP to Multimodal AI | arXiv: 2404.08668
• a survey on proactive defense strategies against misinformation in large languag | arXiv: 2507.05288
• a systematic study of compositional syntactic transformer language models | arXiv: 2506.22978
• a text is worth several tokens text embedding from llms secretly aligns well wit | arXiv: 2406.17378
• A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive | arXiv: 2402.11005
• a training-free llm-based approach to general chinese character error correction | arXiv: 2502.15266
• a triple-view framework for fine-grained emotion classification with clustering-
• A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns | arXiv: 2410.16155
• a unified agentic framework for evaluating conditional image generation | arXiv: 2504.07046
• a variational approach for mitigating entity bias in relation extraction | arXiv: 2506.11381
• a-tasc asian ted-based automatic subtitling corpus
• aad-llm neural attention-driven auditory scene understanding | arXiv: 2502.16794
• AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research | arXiv: 2507.13300
• accelerating adaptive retrieval augmented generation via instruction-driven repr | arXiv: 2505.12731
• accelerating dense llms via l0-regularized mixture-of-experts
• access denied inc the first benchmark environment for sensitivity awareness | arXiv: 2506.00964
• accurate kv cache quantization with outlier tokens tracing | arXiv: 2505.10938
• AceCoder: Acing Coder RL via Automated Test-Case Synthesis | arXiv: 2502.01718
• acord an expert-annotated retrieval dataset for legal contract drafting | arXiv: 2501.06582
• acoustic individual identification of white-faced capuchin monkeys using joint m
• acquisition and application of novel knowledge in large language models
• act knowledgeable agents to design and perform complex tasks
• activating distributed visual region within llms for efficient and effective vis
• activation steering decoding mitigating hallucination in large vision-language m
• actiview evaluating active perception ability for multimodal large language mode
• ad-hoc concept forming in the game codenames as a means for evaluating large lan | arXiv: 2502.11707
• ad-llm benchmarking large language models for anomaly detection | arXiv: 2412.11142
• adadhp fine-grained fine-tuning via dual hadamard product and adaptive parameter
• adaedit advancing continuous knowledge editing for large language models
• adammeme adaptively probe the reasoning capacity of multimodal large language mo | arXiv: 2507.01702
• adaptagent adapting multimodal web agents with few-shot learning from human demo
• adapting psycholinguistic research for llms gender-inclusive language in a coref | arXiv: 2502.13120
• adaptive and robust translation from natural language to multi-model query langu
• adaptive detoxification safeguarding general capabilities of llms through toxici | arXiv: 2505.22298
• adaptive linguistic prompting alp enhances phishing webpage detection in multimo | arXiv: 2507.13357
• adaptive retrieval without self-knowledge bringing uncertainty back home | arXiv: 2501.12835
• Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger | arXiv: 2502.12961
• adaptive-vp a framework for llm-based virtual patients that adapts to trainees d | arXiv: 2506.00386
• addressing blind guessing calibration of selection bias in multiple-choice quest
• advancing collaborative debates with role differentiation through multi-agent re
• advancing sequential numerical prediction in autoregressive models | arXiv: 2505.13077
• advancing smoe for continuous domain adaptation of mllms adaptive router and dom
• advancing zero-shot text-to-speech intelligibility across diverse domains via pr | arXiv: 2505.04113
• adversarial alignment with anchor dragging drift a3d2 multimodal domain adaptati
• adversarial tokenization | arXiv: 2503.02174
• adverse event extraction from discharge summaries a new dataset annotation schem
• AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset | arXiv: 2411.15640
• afrobench how good are large language models on african languages | arXiv: 2311.07978
• afrocs-xs creating a compact high-quality human-validated code-switched dataset
• agd adversarial game defense against jailbreak attacks in large language models
• Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents | arXiv: 2506.21252
• agentalign navigating safety alignment in the shift from informative to agentic | arXiv: 2505.23020
• agentdropout dynamic agent elimination for token-efficient and high-performance
• agentgym evaluating and training large language model-based agents across divers
• agentic knowledgeable self-awareness | arXiv: 2504.03553
• Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools | arXiv: 2502.04644
• agentic reward modeling integrating human preferences with verifiable correctnes
• agentrm enhancing agent generalization with reward modeling | arXiv: 2502.18407
• agents under siege breaking pragmatic multi-agent llm systems with optimized pro
• agrail a lifelong agent guardrail with effective and adaptive safety detection | arXiv: 2502.11448
• agri-cm3 a chinese massive multi-modal multi-level benchmark for agricultural un
• ai4reading chinese audiobook interpretation system based on multi-agent collabor | arXiv: 2512.23300
• aide attribute-guided multi-hop data expansion for data scarcity in task-specifi | arXiv: 2412.06136
• AIMSCheck: Leveraging LLMs for AI-Assisted Review of Modern Slavery Statements Across Jurisdictions | arXiv: 2506.01671
• air-bench automated heterogeneous information retrieval benchmark | arXiv: 2412.13102
• akan cinematic emotions ace a multimodal multi-party dataset for emotion recogni | arXiv: 2502.10973
• algen few-shot inversion attacks on textual embeddings via cross-model alignment
• Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study | arXiv: 2412.13169
• align-slm textless spoken language models with reinforcement learning from ai fe | arXiv: 2411.01834
• AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation | arXiv: 2503.02832
• Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race | arXiv: 2506.00253
• Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race | arXiv: 2506.00253
• Aligning AI Research with the Needs of Clinical Coding Workflows: Eight Recommendations Based on US Data Analysis and Critical Review | arXiv: 2412.18043
• aligning large language models to follow instructions and hallucinate less via e | arXiv: 2502.07340
• Aligning Large Language Models with Implicit Preferences from User-Generated Content | arXiv: 2506.04463
• Aligning VLM Assistants with Personalized Situated Cognition | arXiv: 2506.00930
• alignment drift in cefr-prompted llms for interactive spanish tutoring | arXiv: 2505.08351
• alignmmbench evaluating chinese multimodal alignment in large vision-language mo | arXiv: 2406.09295
• All That Glitters is Not Novel: Plagiarism in AI Generated Research | arXiv: 2502.16487
• alleviating distribution shift in synthetic data for machine translation quality | arXiv: 2502.19941
• alleviating hallucinations from knowledge misalignment in large language models
• ambik dataset of ambiguous tasks in kitchen environment | arXiv: 2506.04089
• amopo adaptive multi-objective preference optimization without reward models and | arXiv: 2506.07165
• amplifying trans and nonbinary voices a community-centred harm taxonomy for llms
• an analysis of datasets metrics and models in keyphrase generation | arXiv: 2506.10346
• An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling | arXiv: 2402.13534
• an efficient and precise training data construction framework for process-superv
• An Efficient Task-Oriented Dialogue Policy: Evolutionary Reinforcement Learning Injected by Elite Individuals | arXiv: 2506.03519
• an empirical study of iterative refinements for non-autoregressive translation
• An Empirical Study of Many-to-Many Summarization with Large Language Models | arXiv: 2505.12983
• an expanded massive multilingual dataset for high-performance language technolog | arXiv: 2503.10267
• analytickws towards exemplar-free analytic class incremental learning for small- | arXiv: 2505.11817
• analyzing and mitigating inconsistency in discrete speech tokens for neural code
• Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations | arXiv: 2504.13816
• analyzing political bias in llms via target-oriented sentiment classification | arXiv: 2505.19776
• analyzing the rapid generalization of sft via the perspective of attention head
• anchored answers unravelling positional bias in gpt-2s multiple-choice questions | arXiv: 2405.03205
• AndroidGen: Building an Android Language Agent under Data Scarcity | arXiv: 2504.19298
• AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents | arXiv: 2410.24024
• anre analogical replay for temporal knowledge graph forecasting
• answer when needed forget when not language models pretend to forget via in-cont | arXiv: 2410.00382
• answering complex geographic questions by adaptive reasoning with visual context
• antileakbench preventing data contamination by automatically constructing benchm | arXiv: 2412.13670
• any information is just worth one single screenshot unifying search with visuali
• anything goes a crosslinguistic study of impossible language learning in lms | arXiv: 2502.18795
• APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs | arXiv: 2502.12085
• appl a prompt programming language for harmonious integration of programs and la
• are any-to-any models more consistent across modality transfers than specialists | arXiv: 2505.24211
• are bias evaluation methods biased | arXiv: 2506.17111
• are llms effective psychological assessors leveraging adaptive rag for interpret
• are optimal algorithms still optimal rethinking sorting in llm-based pairwise ra
• are rules meant to be broken understanding multilingual moral reasoning as a com | arXiv: 2502.14083
• are the hidden states hiding something testing the limits of factuality-encoding
• Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media | arXiv: 2412.18148
• are your llms capable of stable reasoning | arXiv: 2412.13147
• arghitz at archehr-qa 2025 a two-step divide and conquer approach to patient que | arXiv: 2506.12886
• aria-ui visual grounding for gui instructions | arXiv: 2412.16256
• ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search | arXiv: 2504.10893
• Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework | arXiv: 2412.16953
• arithmattack evaluating robustness of llms to noisy context in math problem solv | arXiv: 2501.08203
• around the world in 24 hours probing llm knowledge of time and place | arXiv: 2506.03984
• asclepius a spectrum evaluation benchmark for medical multi-modal large language
• ask-before-detection identifying and mitigating conformity bias in llm-powered e
• askqe question answering as automatic evaluation for machine translation | arXiv: 2504.11582
• aspera a simulated environment to evaluate planning for complex action execution | arXiv: 2507.15501
• aspo adaptive sentence-level preference optimization for fine-grained multimodal | arXiv: 2505.19100
• assessing agentic large language models in multilingual national bias | arXiv: 2502.17945
• Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks | arXiv: 2410.11005
• assessing reliability and political bias in llms judgements of formal and materi
• assessment and manipulation of latent constructs in pre-trained language models
• assigning distinct roles to quantized and low-rank matrices toward optimal weigh | arXiv: 2506.02077
• Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models | arXiv: 2410.07176
• atgen a framework for active text generation | arXiv: 2506.23342
• atlantis weak-to-strong learning via importance sampling
• atomic calibration of llms in long-form generations | arXiv: 2410.13246
• atri mitigating multilingual audio text retrieval inconsistencies by reducing da
• Attacking Vision-Language Computer Agents via Pop-ups | arXiv: 2411.02391
• Attention Entropy is a Key Factor for Parallel Context Encoding | arXiv: 2412.16545
• attention speaks volumes localizing and mitigating bias in language models | arXiv: 2410.22517
• atyaephyra at semeval-2025 task 4 low-rank negative preference optimization | arXiv: 2503.13690
• autalic a dataset for anti-autistic ableist language in context | arXiv: 2410.16520
• auto-arena automating llm evaluations with agent peer battles and committee disc
• auto-ta towards scalable automated thematic analysis ta via multi-agent large la | arXiv: 2506.23998
• AutoGUI: Scaling GUI Grounding with Automatic Functionality Annotations from LLMs | arXiv: 2502.01977
• Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models | arXiv: 2505.19490
• automated structured radiology report generation | arXiv: 2505.24223
• automatic detection of dyslexia based on eye movements during reading in russian
• automatic evaluation for text-to-image generation task-decomposed framework dist
• automatic expert discovery in llm upcycling via sparse interpolated mixture-of-e
• automatic generation of inference making questions for reading comprehension ass | arXiv: 2506.08260
• automatic transmission for llm tiers optimizing cost and accuracy in large langu | arXiv: 2505.20921
• Automating Legal Interpretation with LLMs: Retrieval, Generation, and Evaluation | arXiv: 2501.01743
• automedeval harnessing language models for automatic medical capability evaluati
• AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs | arXiv: 2506.00569
• automixer checkpoint artifacts as automatic data mixers | arXiv: 2506.21910
• autonomous data selection with zero-shot generative classifiers for mathematical | arXiv: 2402.07625
• Autoregressive Speech Synthesis without Vector Quantization | arXiv: 2407.08551
• avg-llava an efficient large multimodal model with adaptive visual granularity | arXiv: 2410.02745
• awes laws and flaws from todays llm research | arXiv: 2408.15409
• axis efficient human-agent-computer interaction with api-first llm-based agents | arXiv: 2409.17140
• balancing diversity and risk in llm sampling how to select your method and param
• balancing the budget understanding trade-offs between supervised and preference- | arXiv: 2502.11284
• bandit-based prompt design strategy selection improves prompt optimizers | arXiv: 2503.01163
• banstereoset a dataset to measure stereotypical social biases in llms for bangla | arXiv: 2409.11638
• basic reading distillation | arXiv: 2507.19741
• batayan a filipino nlp benchmark for evaluating large language models | arXiv: 2502.14911
• battling against tough resister strategy planning with adversarial game for non-
• BeamLoRA: Beam-Constraint Low-Rank Adaptation | arXiv: 2502.13604
• behavioral analysis of information salience in large language models | arXiv: 2502.14613
• behaviorbox automated discovery of fine-grained performance differences between | arXiv: 2506.02204
• behavioural vs representational systematicity in end-to-end models an opinionate | arXiv: 2506.04461
• Behind Closed Words: Creating and Investigating the forePLay Annotated Dataset for Polish Erotic Discourse | arXiv: 2412.17533
• bel esprit multi-agent framework for building ai model pipelines | arXiv: 2412.14684
• BelarusianGLUE: Towards a Natural Language Understanding Benchmark for Belarusian
• belle a bi-level multi-agent reasoning framework for multi-hop question answerin | arXiv: 2505.11811
• benchmarking and improving large vision-language models for fundamental visual g
• benchmarking llms and llm-based agents in practical vulnerability detection for | arXiv: 2503.03586
• benchmarking long-context language models on long code understanding | arXiv: 2503.04359
• Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models | arXiv: 2412.05167
• benchmarking uncertainty quantification methods for large language models with l | arXiv: 2406.15627
• bert-like models for slavic morpheme segmentation
• besstie a benchmark for sentiment and sarcasm classification for varieties of en | arXiv: 2412.04726
• better embeddings with coupled adam | arXiv: 2502.08441
• Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases | arXiv: 2502.19249
• Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs | arXiv: 2502.20968
• beyond completion a foundation model for general knowledge graph reasoning | arXiv: 2505.21926
• beyond demographics fine-tuning large language models to predict individuals sub
• beyond dialogue a profile-dialogue alignment framework towards general role-play
• Beyond Facts: Evaluating Intent Hallucination in Large Language Models | arXiv: 2506.06539
• Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems | arXiv: 2505.12467
• beyond in-context learning aligning long-form generation of large language model | arXiv: 2506.01265
• beyond logits aligning feature dynamics for effective knowledge distillation
• beyond n-grams rethinking evaluation metrics and strategies for multilingual abs | arXiv: 2507.08342
• beyond negative stereotypes -- non-negative abusive utterances about identity gr
• beyond numeric rewards in-context dueling bandits with llm agents | arXiv: 2407.01887
• beyond one-size-fits-all tailored benchmarks for efficient evaluation | arXiv: 2502.13576
• beyond output matching bidirectional alignment for enhanced in-context learning | arXiv: 2312.17055
• beyond position the emergence of wavelet-like properties in transformers | arXiv: 2410.18067
• beyond profile from surface-level facts to deep persona simulation in llms | arXiv: 2502.12988
• beyond prompt engineering robust behavior control in llms via steering target at | arXiv: 2505.20322
• Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering | arXiv: 2503.01606
• beyond sequences two-dimensional representation and dependency encoding for code
• beyond similarity a gradient-based graph method for instruction tuning data sele
• beyond single labels improving conversational recommendation through llm-powered | arXiv: 2508.05657
• beyond surface simplicity revealing hidden reasoning attributes for precise comm
• beyond surface-level patterns an essence-driven defense framework against jailbr | arXiv: 2502.19041
• Beyond Text Compression: Evaluating Tokenizers Across Scales | arXiv: 2506.03101
• beyond the answer advancing multi-hop qa with fine-grained graph reasoning and e
• beyond the tip of efficiency uncovering the submerged threats of jailbreak attac | arXiv: 2502.19883
• beyond true or false retrieval-augmented hierarchical analysis of nuanced claims | arXiv: 2506.10728
• bfs-prover scalable best-first tree search for llm-based automatic theorem provi
• bi-tuning with collaborative information for controllable llm-based sequential r
• bias attribution in filipino language models extending a bias interpretability m | arXiv: 2506.07249
• Bias in Language Models: Beyond Trick Tests and Towards RUTEd Evaluation | arXiv: 2402.12649
• bias in the mirror are llms opinions robust to their own adversarial attacks
• biased llms can influence political decision-making
• biasguard a reasoning-enhanced bias detection tool for large language models | arXiv: 2504.21299
• big-bench extra hard | arXiv: 2502.19187
• big5-chat shaping llm personalities through training on human-grounded data | arXiv: 2410.16491
• bilingual zero-shot stance detection
• Binary Classifier Optimization for Large Language Model Alignment | arXiv: 2404.04656
• bipro zero-shot chinese poem generation via block inverse prompting constrained | arXiv: 2411.13237
• bitnetcpp efficient edge inference for ternary llms
• blessing of multilinguality a systematic analysis of multilingual in-context lea | arXiv: 2502.11364
• blockpruner fine-grained pruning for large language models | arXiv: 2406.10594
• bmike-53 investigating cross-lingual knowledge editing with in-context learning | arXiv: 2406.17764
• Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation | arXiv: 2502.10762
• BookCoref: Coreference Resolution at Book Scale | arXiv: 2507.12075
• bookworld from novels to interactive agent societies for story creation
• boosting llms molecular structure elucidation with knowledge enhanced tree searc | arXiv: 2506.23056
• boosting long-context information seeking via query-guided activation refilling
• boosting vulnerability detection of llms via curriculum preference optimization | arXiv: 2506.07390
• bpp-search enhancing tree of thought reasoning for mathematical modeling problem | arXiv: 2411.17404
• bqa body language question answering dataset for video large language models | arXiv: 2410.13206
• brainecho semantic brain signal decoding through vector-quantized spectrogram re | arXiv: 2410.14971
• breaking the ceiling exploring the potential of jailbreak attacks through expand | arXiv: 2505.21277
• bregman conditional random fields sequence labeling with parallelizable inferenc | arXiv: 2506.00732
• brevity is the soul of sustainability characterizing llm response lengths | arXiv: 2506.08686
• bridging the language gaps in large language models with inference-time cross-li
• brighter bridging the gap in human-annotated textual emotion recognition dataset
• browsing like human a multimodal web agent with experiential fast-and-slow think
• browsing lost unformed recollections a benchmark for tip-of-the-tongue search an | arXiv: 2503.19193
• building a long text privacy policy corpus with multi-class labels
• building better avoiding pitfalls in developing language resources when data is | arXiv: 2410.12691
• burn after reading do multimodal large language models truly capture order of ev | arXiv: 2506.10415
• bypass back-propagation optimization-based structural pruning for large language
• Byte Latent Transformer: Patches Scale Better Than Tokens | arXiv: 2412.09871
• c2leva toward comprehensive and contamination-free language model evaluation | arXiv: 2412.04947
• cadreview automatically reviewing cad programs with error detection and correcti | arXiv: 2505.22304
• calibraeval calibrating prediction distribution to mitigate selection bias in ll
• call for rigor in reporting quality of instruction tuning data | arXiv: 2503.04807
• CaLMQA: Exploring Culturally Specific Long-Form Question Answering across 23 Languages | arXiv: 2406.17761
• cami a counselor agent supporting motivational interviewing through state infere
• can a single model master both multi-turn conversations and tool use coalm a uni
• can community notes replace professional fact-checkers | arXiv: 2502.14132
• can external validation tools improve annotation quality for llm-as-a-judge | arXiv: 2507.17015
• Can Graph Descriptive Order Affect Solving Graph Problems with LLMs? | arXiv: 2402.07140
• Can Indirect Prompt Injection Attacks Be Detected and Removed? | arXiv: 2502.16580
• can input attributions explain inductive reasoning in in-context learning | arXiv: 2412.15628
• Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering | arXiv: 2410.08085
• can language models reason about individualistic human values and preferences | arXiv: 2410.03868
• can language models replace programmers for coding repocod says not yet | arXiv: 2410.21647
• can large language models accurately generate answer keys for health-related que
• can large language models address open-target stance detection | arXiv: 2409.00222
• can large language models detect errors in long chain-of-thought reasoning | arXiv: 2502.19361
• Can Large Language Models Understand Internet Buzzwords Through User-Generated Content | arXiv: 2505.15071
• Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? | arXiv: 2502.11598
• Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates | arXiv: 2505.22943
• Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs | arXiv: 2401.14640
• Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval | arXiv: 2506.12278
• can llms ground when they dont know a study on direct and loaded political quest
• can llms help uncover insights about llms a large-scale evolving literature anal | arXiv: 2502.18791
• can llms identify critical limitations within scientific research a systematic e
• can llms interpret and leverage structured linguistic representations a case stu | arXiv: 2504.04745
• can llms reason about program semantics a comprehensive evaluation of llms on fo | arXiv: 2503.04779
• can llms reliably simulate real students abilities in mathematics and reading co | arXiv: 2507.08232
• can llms simulate l2-english dialogue an information-theoretic analysis of l1-de
• can llms understand unvoiced speech exploring emg-to-text conversion with llms | arXiv: 2506.00304
• can mllms understand the deep implication behind chinese images | arXiv: 2410.13854
• can multimodal foundation models understand schematic diagrams an empirical stud | arXiv: 2507.10787
• Can Multimodal Large Language Models Understand Spatial Relations? | arXiv: 2505.19015
• can third parties read our emotions
• can uniform meaning representation help gpt-4 translate from indigenous language | arXiv: 2502.08900
• can vision language models understand mimed actions | arXiv: 2506.21586
• can vision-language models evaluate handwritten math | arXiv: 2501.07244
• can we further elicit reasoning in llms critic-guided planning with retrieval-au
• can we retrieve everything all at once arm an alignment-oriented llm-based retri
• can you really trust code copilot evaluating large language models from a code s
• can you share your story modeling clients metacognition and openness for llm the | arXiv: 2507.19643
• capability salience vector fine-grained alignment of loss and capabilities for d
• capacity matters a proof-of-concept for transformer memorization on real-world d | arXiv: 2506.14704
• Capture the Key in Reasoning to Enhance CoT Distillation Generalization | arXiv: 2405.19737
• capturing author self beliefs in social media language
• cart a generative cross-modal retrieval framework with coarse-to-fine semantic m | arXiv: 2406.17507
• Causal Estimation of Tokenisation Bias | arXiv: 2506.03149
• causal graph based event reasoning using semantic relation experts | arXiv: 2506.06910
• causalrag integrating causal graphs into retrieval-augmented generation | arXiv: 2503.19878
• Caution for the Environment: Multimodal LLM Agents are Susceptible to Environmental Distractions | arXiv: 2408.02544
• cautious next token prediction | arXiv: 2507.03038
• cavgan unifying jailbreak and defense of llms via generative adversarial attacks | arXiv: 2507.06043
• cc-tuning a cross-lingual connection mechanism for improving joint multilingual | arXiv: 2506.00875
• cchall a novel benchmark for joint cross-lingual and cross-modal hallucinations | arXiv: 2505.19108
• ceaes bidirectional reinforcement learning optimization for consistent and expla
• CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference | arXiv: 2412.10652
• Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model | arXiv: 2501.05122
• CER: Confidence Enhanced Reasoning in LLMs | arXiv: 2502.14634
• cfbench a comprehensive constraints-following benchmark for llms | arXiv: 2408.01122
• chain-of-jailbreak attack for image generation models via editing step by step | arXiv: 2410.03869
• chain-of-reasoning towards unified mathematical reasoning in large language mode | arXiv: 2501.11110
• Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective | arXiv: 2501.11110
• chain-talker chain understanding and rendering for empathetic conversational spe | arXiv: 2505.12597
• ChainEdit: Propagating Ripple Effects in LLM Knowledge Editing through Logical Rule-Guided Chains | arXiv: 2507.08427
• ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation | arXiv: 2501.06598
• chartlens fine-grained visual attribution in charts | arXiv: 2505.19360
• chatbench from static benchmarks to human-ai evaluation | arXiv: 2504.07114
• chatsop an sop-guided mcts planning framework for controllable llm dialogue agen
• Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch | arXiv: 2502.17173
• cheer-ekman fine-grained embodied emotion classification | arXiv: 2506.01047
• chemactor enhancing automated extraction of chemical synthesis actions with llm- | arXiv: 2506.23520
• CheXalign: Preference Fine-tuning in Chest X-ray Interpretation Models without Human Feedback | arXiv: 2410.07025
• childmandarin a comprehensive mandarin speech dataset for young children aged 3- | arXiv: 2409.18584
• chinese inertial gan for handwriting signal generation and recognition
• chinese safetyqa a safety short-form factuality benchmark for large language mod
• chinese simpleqa a chinese factuality evaluation for large language models | arXiv: 2411.07140
• chronosense exploring temporal understanding in large language models with time | arXiv: 2501.03040
• chulo chunk-level key information representation for long document understanding | arXiv: 2410.11119
• Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models | arXiv: 2410.01434
• circuit stability characterizes language model generalization | arXiv: 2505.24731
• citeeval principle-driven citation evaluation for source attribution | arXiv: 2506.01829
• citynavagent aerial vision-and-language navigation with hierarchical semantic pl
• CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs | arXiv: 2409.05806
• clac at semeval-2025 task 6 a multi-architecture approach for corporate environm | arXiv: 2505.23538
• claim mitigating multilingual object hallucination in large vision-language mode
• claimpkg enhancing claim verification via pseudo-subgraph generation with lightw | arXiv: 2505.22552
• clamp 3 universal music information retrieval across unaligned modalities and un | arXiv: 2502.10362
• CLaSp: In-Context Layer Skip for Self-Speculative Decoding | arXiv: 2505.24196
• class distillation with mahalanobis contrast an efficient training paradigm for
• Classifying Unreliable Narrators with Large Language Models | arXiv: 2506.10231
• CLEME2.0: Towards Interpretable Evaluation by Disentangling Edits for Grammatical Error Correction | arXiv: 2407.00934
• clinidial a naturally occurring multimodal dialogue dataset for team reflection | arXiv: 2506.12936
• cliperase efficient unlearning of visual-textual associations in clip | arXiv: 2410.23330
• clix cross-lingual explanations of idiomatic expressions | arXiv: 2501.03191
• clozemath improving mathematical reasoning in language models by learning to fil | arXiv: 2506.03763
• clusterattn kv cache compression under intrinsic attention clustering
• cmhkf cross-modality heterogeneous knowledge fusion for weakly supervised video
• cnnsum exploring long-context summarization with large language models in chines | arXiv: 2412.02819
• CoachMe: Decoding Sport Elements with a Reference-Based Coaching Instruction Generation Model | arXiv: 2509.11698
• coam corpus of all-type multiword expressions | arXiv: 2412.18151
• coco-bench a comprehensive code benchmark for multi-task large language model ev | arXiv: 2504.20673
• CoCoLex: Confidence-guided Copy-based Decoding for Grounded Legal Text Generation | arXiv: 2508.05534
• code-switching and syntax a large-scale experiment | arXiv: 2506.01846
• code-switching curriculum learning for multilingual transfer in llms | arXiv: 2411.02460
• code-switching red-teaming llm evaluation for safety and multilingual understand | arXiv: 2406.15481
• CodeDPO: Aligning Code Models with Self Generated and Verified Source Code | arXiv: 2410.05605
• codeif benchmarking the instruction-following capabilities of large language mod | arXiv: 2502.19166
• codemenv benchmarking large language models on code migration | arXiv: 2506.00894
• codereviewqa the code review comprehension assessment for large language models | arXiv: 2503.16167
• codetool enhancing programmatic tool invocation of llms via process supervision | arXiv: 2503.20840
• coe a clue of emotion framework for emotion recognition in conversations
• CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models | arXiv: 2505.20767
• cogsteer cognition-inspired selective layer intervention for efficiently steerin | arXiv: 2410.17714
• coir a comprehensive benchmark for code information retrieval models | arXiv: 2407.02883
• cola collaborative low-rank adaptation | arXiv: 2505.15471
• coling-unia at scivqa 2025 few-shot example retrieval and confidence-informed en | arXiv: 2507.02357
• Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual Evidence | arXiv: 2503.05037
• colloquial singaporean english style transfer with fine-grained explainable cont
• Com2: A Causal-Guided Benchmark for Complex Commonsense Reasoning | arXiv: 2506.07064
• combining domain and alignment vectors provides better knowledge-safety trade-of
• combining the best of both worlds a method for hybrid nmt and llm translation | arXiv: 2505.13554
• comet metaphor-driven covert communication for multi-agent language games | arXiv: 2505.18218
• comfyui-copilot an intelligent assistant for automated workflow development | arXiv: 2506.05010
• Commonsense Reasoning in Arab Culture | arXiv: 2502.12788
• Comparing LLM-generated and human-authored news text using formal syntactic theory | arXiv: 2506.01407
• Comparing Moral Values in Western English-speaking Societies and LLMs with Word Associations | arXiv: 2505.19674
• comparison-based active preference learning for multi-dimensional personalizatio
• comparisonqa evaluating factuality robustness of llms through knowledge frequenc | arXiv: 2412.20251
• compileagent automated real-world repo-level compilation with tool-integrated ll | arXiv: 2505.04254
• compke complex question answering under knowledge editing | arXiv: 2506.00829
• Completing A Systematic Review in Hours instead of Months with Interactive AI Agents | arXiv: 2504.14822
• computation mechanism behind llm position generalization | arXiv: 2503.13305
• comrag retrieval-augmented generation with dynamic vector stores for real-time c | arXiv: 2506.21098
• con instruction universal jailbreaking of multimodal large language models via n | arXiv: 2506.00548
• conceptcarve dynamic realization of evidence | arXiv: 2504.07228
• conditional dichotomy quantification via geometric embedding
• condor enhance llm alignment with knowledge-driven data synthesis and refinement | arXiv: 2501.12273
• conect dataset overcoming data scarcity in context-aware e-commerce mt | arXiv: 2506.04929
• confetti conversational function-calling evaluation through turn-level interacti | arXiv: 2506.01859
• confidence vs critique a decomposition of self-correction capability for llms
• conformity in large language models | arXiv: 2410.12428
• conloan a contrastive multilingual dataset for evaluating loanwords
• consim measuring concept-based explanations effectiveness with automated simulat | arXiv: 2501.05855
• ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities | arXiv: 2506.12376
• consistent client simulation for motivational interviewing-based counseling | arXiv: 2502.02802
• conspiracy theories and where to find them on tiktok | arXiv: 2407.12545
• consultant decoding yet another synergistic mechanism | arXiv: 2506.02391
• context-aware hierarchical merging for long document summarization | arXiv: 2502.00977
• Context-Aware Sentiment Forecasting via LLM-based Multi-Perspective Role-Playing Agents | arXiv: 2505.24331
• context-robust knowledge editing for language models | arXiv: 2505.23026
• contextual experience replay for self-improvement of language agents | arXiv: 2506.06698
• Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing | arXiv: 2505.20976
• Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models | arXiv: 2401.08491
• Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering | arXiv: 2505.12831
• Controllable and Reliable Knowledge-Intensive Task-Oriented Conversational Agents with Declarative Genie Worksheets | arXiv: 2407.05674
• controllable style arithmetic with language models
• controlled low-rank adaptation with subspace regularization for continued traini
• ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control | arXiv: 2406.01205
• convert language model into a value-based strategic planner | arXiv: 2505.06987
• cool-fusion fuse large language models without training | arXiv: 2407.19807
• cooperative or competitive understanding the interaction between attention heads
• coordinating chaos a structured review of linguistic coordination methodologies
• CORAL: Learning Consistent Representations across Multi-step Training with Lighter Speculative Drafter | arXiv: 2502.16880
• cordial can multimodal large language models effectively understand coherence re
• CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG | arXiv: 2506.02544
• coreeval automatically building contamination-resilient datasets with real-world
• coreference as an indicator of context scope in multimodal narrative | arXiv: 2503.05298
• coret improved retriever for code editing | arXiv: 2505.24715
• correcting hallucinations in news summaries exploration of self-correcting llm m | arXiv: 2506.19607
• cortexdebate debating sparsely and equally for multi-agent debate | arXiv: 2507.03928
• cosmic generalized refusal direction identification in llm activations | arXiv: 2506.00085
• COSMMIC: Comment-Sensitive Multimodal Multilingual Indian Corpus for Summarization and Headline Generation | arXiv: 2506.15372
• cosyn code guided synthetic data
• cot-based synthesizer enhancing llm performance through answer synthesis | arXiv: 2501.01668
• cot-icl lab a synthetic framework for studying chain-of-thought learning from in | arXiv: 2502.15132
• cot-uq improving response-wise uncertainty quantification in llms with chain-of- | arXiv: 2502.17214
• cot-valve length-compressible chain-of-thought tuning | arXiv: 2502.09601
• counterfactual-consistency prompting for relative temporal understanding in larg | arXiv: 2502.11425
• Counterspeech the Ultimate Shield! Multi-Conditioned Counterspeech Generation through Attributed Prefix Learning | arXiv: 2505.11958
• cove compressed vocabulary expansion makes better llm-based recommender systems | arXiv: 2506.19993
• crab a novel configurable role-playing llm with assessing benchmark
• cracking factual knowledge a comprehensive analysis of degenerate knowledge neur
• Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence | arXiv: 2412.13949
• craftext benchmark advancing instruction following in complex multimodal open-en
• Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity | arXiv: 2502.13063
• crisists coupling social media textual data and meteorological time series for u
• criskeval a chinese multi-level risk evaluation benchmark dataset for large lang
• critic-cot boosting the reasoning abilities of large language model via chain-of | arXiv: 2408.16326
• critiq mining data quality criteria from human preferences | arXiv: 2502.19279
• Croppable Knowledge Graph Embedding | arXiv: 2407.02779
• cross-document contextual coreference resolution in knowledge graphs | arXiv: 2504.05767
• cross-lingual auto evaluation for assessing multilingual llms | arXiv: 2410.13394
• Cross-Lingual Generalization and Compression: From Language-Specific to Shared Neurons | arXiv: 2506.01629
• cross-lingual optimization for language transfer in large language models | arXiv: 2505.14297
• Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models | arXiv: 2505.18673
• cross-lingual representation alignment through contrastive image-caption tuning | arXiv: 2505.13628
• cross-lingual transfer of cultural knowledge an asymmetric phenomenon | arXiv: 2506.01675
• cross-lingual transfer of debiasing and detoxification in multilingual llms an e | arXiv: 2412.14050
• Cross-model Transferability among Large Language Models on the Platonic Representations of Concepts | arXiv: 2501.02009
• crowd comparative reasoning unlocking comprehensive evaluations for llm-as-a-jud
• crowdsource crawl or generate creating sea-vl a multicultural vision-language da
• cruxeval-x a benchmark for multilingual code reasoning understanding and executi | arXiv: 2408.13001
• cstree-sri introspection-driven cognitive semantic tree for multi-turn question
• cstrl context-driven sequential transfer learning for abstractive radiology repo | arXiv: 2503.05750
• ctpd cross-modal temporal pattern discovery for enhanced multimodal electronic h | arXiv: 2411.00696
• cu-mam coherence-driven unified macro-structures for argument mining
• cuckoo an ie free rider hatched by massive nutrition in llms nest | arXiv: 2502.11275
• culemo cultural lenses on emotion - benchmarking llms for cross-cultural emotion | arXiv: 2503.10688
• culfit a fine-grained cultural-aware llm training paradigm via multilingual crit | arXiv: 2505.19484
• cultivating gaming sense for yourself making vlms gaming experts | arXiv: 2503.21263
• cultural learning-based culture adaptation of language models | arXiv: 2504.02953
• culturalbench a robust diverse and challenging benchmark for measuring lms cultu
• culturalbench a robust diverse and challenging cultural benchmark by human-ai cu | arXiv: 2410.02677
• culture is not trivia sociocultural theory for cultural nlp | arXiv: 2502.12057
• culture matters in toxic language detection in persian | arXiv: 2506.03458
• Curiosity-Driven Reinforcement Learning from Human Feedback | arXiv: 2501.11463
• curriculum debiasing toward robust parameter-efficient fine-tuning against datas
• cxggec construction-guided grammatical error correction
• cypherbench towards precise retrieval over full-scale modern knowledge graphs in
• d-gen automatic distractor generation and evaluation for reliable assessment of | arXiv: 2504.13439
• DAC: A Dynamic Attention-aware Approach for Task-Agnostic Prompt Compression | arXiv: 2507.11942
• dalr dual-level alignment learning for multimodal sentence representation learni | arXiv: 2506.21096
• dape v2 process attention score as feature map for length extrapolation | arXiv: 2410.04798
• dars dynamic action re-sampling to enhance coding agent performance by adaptive | arXiv: 2503.14269
• data caricatures on the representation of african american language in pretraini | arXiv: 2503.10789
• data laundering artificially boosting benchmark results through knowledge distil | arXiv: 2412.15255
• Data Quality Issues in Multilingual Speech Datasets: The Need for Sociolinguistic Awareness and Proactive Language Planning | arXiv: 2506.17525
• Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning | arXiv: 2505.12212
• data-constrained synthesis of training data for de-identification | arXiv: 2502.14677
• davir data selection via implicit reward for large language models | arXiv: 2310.13008
• dcg-sql enhancing in-context learning for text-to-sql with deep contextual schem
• ddxtutor clinical reasoning tutoring system with differential diagnosis-based st
• DeAL: Decoding-time Alignment for Large Language Models | arXiv: 2402.06147
• debate reflect and distill multi-agent feedback with tree-structured preference | arXiv: 2506.03541
• debatecoder towards collective intelligence of llms via test case driven llm deb
• debiasing the fine-grained classification task in llms with bias-aware peft
• decoder-only llms can be masked auto-encoders
• decoding by contrasting knowledge enhancing large language model confidence on e
• decoding knowledge attribution in mixture-of-experts a framework of basic-refine | arXiv: 2505.24593
• decoding on graphs faithful and sound reasoning on knowledge graphs through gene
• decoding reading goals from eye movements | arXiv: 2410.20779
• decomposed opinion summarization with verified aspect-aware modules | arXiv: 2501.17191
• deep temporal reasoning in video language models a cross-linguistic evaluation o
• deeper insight into your user directed persona refinement for dynamic persona mo
• deepreview improving llm-based paper review with human-like deep thinking proces
• deeprtl2 a versatile model for rtl-related tasks | arXiv: 2506.15697
• deepsolution boosting complex engineering solution design via tree-based explora | arXiv: 2502.20730
• def-dts deductive reasoning for open-domain dialogue topic segmentation | arXiv: 2505.21033
• Defense Against Prompt Injection Attack by Leveraging Attack Techniques | arXiv: 2411.00459
• define decision-making with analogical reasoning over factor profiles | arXiv: 2410.01772
• defining and evaluating visual language models basic spatial abilities a perspec
• Dehumanizing Machines: Mitigating Anthropomorphic Behaviors in Text Generation Systems | arXiv: 2502.14019
• deja vu decoding repeated reading from eye movements
• deliberate reasoning in language models as structure-aware planning with an accu
• delta-knn improving demonstration selection in in-context learning for alzheimer
• Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language Models | arXiv: 2505.19121
• demo reframing dialogue interaction with fine-grained element modeling | arXiv: 2412.04905
• demons in the detail on implementing load balancing loss for training specialize
• demystifying small language models for edge deployment
• denselora dense low-rank adaptation of large language models | arXiv: 2505.23808
• Deontological Keyword Bias: The Impact of Modal Expressions on Normative Judgments of Language Models | arXiv: 2506.11068
• design choices for extending the context length of visual language models | arXiv: 2412.12735
• detecting referring expressions in visually grounded dialogue with autoregressiv | arXiv: 2506.21294
• detecting sockpuppetry on wikipedia using meta-learning | arXiv: 2506.10314
• detection of human and machine-authored fake news in urdu | arXiv: 2410.19517
• developmentally-plausible working memory shapes a critical period for language a | arXiv: 2502.04795
• dialectal coverage and generalization in arabic speech recognition | arXiv: 2411.05872
• dialogue systems for emotional support via value reinforcement | arXiv: 2501.17182
• dialogue-rag enhancing retrieval for llms via node-linking utterance rewriting
• dialup modeling the language continuum by adapting models to dialects and dialec
• dice-bench evaluating the tool-use capabilities of large language models in mult | arXiv: 2506.22853
• dictionaries to the rescue cross-lingual vocabulary transfer for low-resource la | arXiv: 2506.01535
• Did Translation Models Get More Robust Without Anyone Even Noticing? | arXiv: 2403.03923
• different speech translation models encode and translate speaker gender differen | arXiv: 2506.02172
• difflm controllable synthetic data generation via diffusion language models | arXiv: 2411.03250
• DiffPO: Diffusion Alignment with Direct Preference Optimization | arXiv: 2503.04240
• DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising | arXiv: 2407.00248
• diffusion directed acyclic transformer for non-autoregressive machine translatio
• diffusion models through a global lens are they culturally inclusive
• digest the knowledge large language models empowered message passing for knowled
• digital gatekeepers googles role in curating hashtags and subreddits | arXiv: 2506.14370
• dior adaptive cognitive detection and contextual retrieval optimization for dyna
• direct behavior optimization unlocking the potential of lightweight llms | arXiv: 2506.06401
• direct confidence alignment aligning verbalized confidence with internal confide | arXiv: 2512.11998
• direct prompt optimization with continuous representations
• disambiguate first parse later generating interpretations for ambiguity resoluti | arXiv: 2502.18448
• disambiguating reference in visually grounded dialogues through joint modeling o
• disc plug-and-play decoding intervention with similarity of characters for chine
• disco device-server collaborative llm-based text streaming services | arXiv: 2502.11417
• discourse relation-enhanced neural coherence modeling
• disentangled multi-span evolutionary network against temporal knowledge graph re | arXiv: 2505.14020
• disentangling biased knowledge from reasoning in large language models via machi
• Disentangling Language and Culture for Evaluating Multilingual Large Language Models | arXiv: 2505.24635
• Disentangling Memory and Reasoning Ability in Large Language Models | arXiv: 2411.13504
• disentangling the roles of representation and selection in data pruning | arXiv: 2507.03648
• distance between relevant information pieces causes bias in long-context llms | arXiv: 2410.14641
• distilling an end-to-end voice assistant without instruction training data | arXiv: 2410.02678
• DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts | arXiv: 2506.09351
• diversity explains inference scaling laws through a case study of minimum bayes | arXiv: 2410.15021
• Diversity-oriented Data Augmentation with Large Language Models | arXiv: 2502.11671
• Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation | arXiv: 2501.12432
• Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG | arXiv: 2505.20871
• dnaspeech a contextualized and situated text-to-speech dataset with dialogues na
• dncasr end-to-end training for speaker-attributed asr | arXiv: 2506.01916
• do emotions really affect argument convincingness a dynamic approach with llm-ba | arXiv: 2503.00024
• do language models have semantics on the five standard positions
• do language models mirror human confidence exploring psychological insights to a | arXiv: 2506.00582
• do language models understand honorific systems in javanese | arXiv: 2502.20864
• do language models understand the cognitive tasks given to them investigations w | arXiv: 2412.18120
• Do Large Language Models Have an English Accent? Evaluating and Improving the Naturalness of Multilingual LLMs | arXiv: 2410.15956
• do large language models perform latent multi-hop reasoning without exploiting s | arXiv: 2411.16679
• do llms give psychometrically plausible responses in educational assessments | arXiv: 2506.09796
• do llms understand dialogues a case study on dialogue acts
• do multimodal large language models truly see what we point at investigating ind
• do not abstain identify and solve the uncertainty | arXiv: 2506.00780
• do vision-language models have internal world models towards an atomic evaluatio | arXiv: 2506.21876
• doc-react multi-page heterogeneous document question-answering
• docagent a multi-agent system for automated code documentation generation | arXiv: 2504.08725
• docmedit towards document-level model editing | arXiv: 2505.19572
• document-level event-argument data augmentation for challenging role types
• Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport | arXiv: 2505.23078
• does context matter contextualjudgebench for evaluating llm-based judges in cont
• does the emotional understanding of lvlms vary under high-stress environments an
• does time have its place temporal heads where language models recall time-specif | arXiv: 2502.14258
• does your voice assistant remember analyzing conversational context recall and u | arXiv: 2502.19759
• dolphin document image parsing via heterogeneous anchor prompting | arXiv: 2505.14059
• dolphin moving towards closed-loop auto-research through thinking practice and f | arXiv: 2501.03916
• DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning | arXiv: 2507.02302
• Donate or Create? Comparing Data Collection Strategies for Emotion-labeled Multimodal Social Media Posts | arXiv: 2505.24427
• dont erase inform detecting and contextualizing harmful language in cultural her
• dont get lost in the trees streamlining llm reasoning by overcoming tree search
• dont half-listen capturing key-part information in continual instruction tuning
• dont miss the forest for the trees attentional vision calibration for large visi | arXiv: 2405.17820
• dont reinvent the wheel efficient instruction-following text embedding based on | arXiv: 2505.24754
• dont say no jailbreaking llm by suppressing refusal | arXiv: 2404.16369
• double entendre robust audio-based ai-generated lyrics detection via multi-view | arXiv: 2506.15981
• drae dynamic retrieval-augmented expert networks for lifelong learning and task | arXiv: 2507.04661
• DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination | arXiv: 2506.01954
• drama diverse augmentation from large language models to smaller dense retriever | arXiv: 2502.18460
• DREsS: Dataset for Rubric-based Essay Scoring on EFL Writing | arXiv: 2402.16733
• drift enhancing llm faithfulness in rationale generation via dual-reward probabi
• DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization | arXiv: 2411.14055
• drs deep question reformulation with structured output | arXiv: 2411.17993
• drt deep reasoning translation via long chain-of-thought | arXiv: 2412.17498
• ds2-absa dual-stream data synthesis with label refinement for few-shot aspect-ba
• dtcrs dynamic tree construction for recursive summarization | arXiv: 2604.07012
• dualguard a parameter space transformation approach for bidirectional defense in
• dually self-improved counterfactual data augmentation using large language model
• dualrag a dual-process approach to integrate reasoning and retrieval for multi-h
• dva validate your demonstration first before you use it
• dynacode a dynamic complexity-aware code benchmark for evaluating large language | arXiv: 2503.10452
• Dynamic and Generalizable Process Reward Modeling | arXiv: 2507.17849
• dynamic chunking and selection for reading comprehension of ultra-long context i | arXiv: 2506.00773
• dynamic evaluation with cognitive reasoning for multi-turn safety of large langu
• dynamic head selection for neural lexicalized constituency parsing
• dynamic knowledge integration for evidence-driven counter-argument generation wi | arXiv: 2503.05328
• dynamic label name refinement for few-shot dialogue intent classification | arXiv: 2412.15603
• Dynamic Order Template Prediction for Generative Aspect-Based Sentiment Analysis | arXiv: 2406.11130
• dynamic parallel tree search for efficient llm reasoning | arXiv: 2502.16235
• dynamic scaling of unit tests for code reward modeling | arXiv: 2501.01054
• EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models | arXiv: 2508.01625
• eagle expert-guided self-enhancement for preference alignment in pathology large
• ecerc evidence-cause attention network for multi-modal emotion recognition in co
• ECLM: Entity Level Language Model for Spoken Language Understanding with Chain of Intent | arXiv: 2403.04481
• EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association | arXiv: 2505.15196
• edit once update everywhere a simple framework for cross-lingual knowledge synch | arXiv: 2502.14645
• EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models | arXiv: 2502.19765
• editinspector a benchmark for evaluation of text-guided image edits | arXiv: 2506.09988
• educationq evaluating llms teaching capabilities through multi-agent dialogue fr
• educators perceptions of large language models as tutors comparing human and ai | arXiv: 2506.08702
• Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection | arXiv: 2411.07446
• efficient domain continual pretraining by mitigating the stability gap
• efficient ensemble for fine-tuning language models on multiple datasets | arXiv: 2505.21930
• Efficient Knowledge Editing via Minimal Precomputation | arXiv: 2506.04226
• efficient long context language model retrieval with compression | arXiv: 2412.18232
• efficient many-shot in-context learning with dynamic block-sparse attention | arXiv: 2503.08640
• efficient opamp adaptation for zoom attention to golden contexts | arXiv: 2502.12502
• efficient pretraining data selection for language models via multi-actor collabo
• efficient safety alignment of large language models via preference re-ranking an
• Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization | arXiv: 2405.14189
• Efficiently Identifying Watermarked Segments in Mixed-Source Texts | arXiv: 2410.03600
• EfficientQAT: Efficient Quantization-Aware Training for Large Language Models | arXiv: 2407.11062
• effivlm bench vlm acceleration
• EffiVLM-Bench: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models | arXiv: 2506.00479
• ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming | arXiv: 2505.16667
• elba-bench an efficient learning backdoor attacks benchmark for large language m | arXiv: 2502.18511
• eli-why evaluating the pedagogical utility of language model explanations | arXiv: 2506.14200
• embedding-converter a unified framework for cross-model embedding transformation
• Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents | arXiv: 2505.19997
• embracing large language models in traffic flow forecasting | arXiv: 2412.12201
• Emergent Abilities of Large Language Models under Continued Pretraining for Language Adaptation | arXiv: 2506.00288
• emma-x an embodied multimodal action model with grounded chain of thought and lo
• empaths at semeval-2025 task 11 retrieval-augmented approach to perceived emotio | arXiv: 2506.04409
• empathy prediction from diverse perspectives
• employing discourse coherence enhancement to improve cross-document event and en
• emulate a multi-agent framework for determining the veracity of atomic claims by | arXiv: 2505.16576
• enabling chatbots with eyes and ears an immersive multimodal conversation system | arXiv: 2506.00421
• enabling llm knowledge analysis via extensive materialization | arXiv: 2411.04920
• end-to-end dialog neural coreference resolution balancing efficiency and accurac | arXiv: 2504.05824
• energy considerations of large language model inference and efficiency optimizat
• english-based acoustic models perform well in the forced alignment of two englis
• enhance multimodal consistency and coherence for text-image plan generation | arXiv: 2506.11380
• Enhancing Automated Interpretability with Output-Centric Feature Descriptions | arXiv: 2501.08319
• enhancing chain-of-thought reasoning with critical representation fine-tuning | arXiv: 2507.10085
• Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning | arXiv: 2411.17679
• enhancing conversational agents with theory of mind aligning beliefs desires and | arXiv: 2502.14171
• enhancing cross-lingual transfer through reversible transliteration a huffman-ba
• enhancing event-centric news cluster summarization via data sharpening and local
• enhancing goal-oriented proactive dialogue systems via consistency reflection an | arXiv: 2506.13366
• enhancing human evaluation in machine translation with comparative judgement
• Enhancing Hyperbole and Metaphor Detection with Their Bidirectional Dynamic Interaction and Emotion Knowledge | arXiv: 2506.15504
• enhancing input-label mapping in in-context learning with contrastive decoding | arXiv: 2502.13738
• Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models | arXiv: 2506.01334
• enhancing lexicon-based text embeddings with large language models | arXiv: 2501.09749
• enhancing llm agent safety via causal influence prompting | arXiv: 2507.00979
• enhancing machine translation with self-supervised preference data
• enhancing marker scoring accuracy through ordinal confidence modelling in educat | arXiv: 2505.23315
• enhancing mathematical reasoning in llms by stepwise correction | arXiv: 2410.12934
• enhancing medical dialogue generation through knowledge refinement and dynamic p | arXiv: 2506.10877
• Enhancing Multimodal Continual Instruction Tuning with BranchLoRA | arXiv: 2506.02041
• enhancing multimodal retrieval via complementary information extraction and alig
• enhancing ner by harnessing multiple datasets with conditional variational autoe
• enhancing neural machine translation through target language data a knn-lm appro
• Enhancing Open-Domain Task-Solving Capability of LLMs via Autonomous Tool Integration from GitHub | arXiv: 2312.17294
• enhancing retrieval systems with inference-time logical reasoning | arXiv: 2503.17860
• enhancing retrieval-augmented generation via evidence tree search
• Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization | arXiv: 2507.10923
• enhancing spoken discourse modeling in language models using gestural cues | arXiv: 2503.03474
• enhancing text editing for grammatical error correction arabic as a case study | arXiv: 2503.00985
• enhancing the comprehensibility of text explanations via unsupervised concept di | arXiv: 2505.20293
• enhancing transformation from natural language to signal temporal logic using ll | arXiv: 2505.20658
• Enhancing Transformers for Generalizable First-Order Logical Entailment | arXiv: 2501.00759
• enhancing unsupervised sentence embeddings via knowledge-driven data augmentatio
• enigmatom improve llms theory-of-mind reasoning capabilities with neural knowled | arXiv: 2503.03340
• Enough Coin Flips Can Make LLMs Act Bayesian | arXiv: 2503.04722
• Ensemble Watermarks for Large Language Models | arXiv: 2411.19563
• enstom enhancing dialogue systems with entropy-scaled steering vectors for topic | arXiv: 2505.16526
• entailed between the lines incorporating implication into nli | arXiv: 2501.07719
• entailment-preserving first-order logic representations in natural language enta | arXiv: 2502.16757
• entity framing and role portrayal in the news | arXiv: 2502.14718
• entropy-based exploration conduction for multi-step reasoning | arXiv: 2503.15848
• entropy-uid a method for optimizing information density | arXiv: 2502.14366
• epicode boosting model performance beyond training with extrapolation and contra | arXiv: 2506.03489
• epman episodic memory attention for generalizing to longer contexts | arXiv: 2502.14280
• epo explicit policy optimization for strategic reasoning in llms via reinforceme
• error comparison optimization for large language models on aspect-based sentimen
• error-driven data-efficient large multimodal model tuning | arXiv: 2412.15652
• eru-kg efficient reference-aligned unsupervised keyphrase generation | arXiv: 2505.24219
• EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents | arXiv: 2412.13549
• Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis | arXiv: 2506.04142
• estimating privacy leakage of augmented contextual knowledge in language models | arXiv: 2410.03026
• eta-wavlm efficient speaker identity removal in self-supervised speech represent | arXiv: 2505.19273
• etf an entity tracing framework for hallucination detection in code summaries | arXiv: 2410.14748
• evaluating design decisions for dual encoder-based entity disambiguation | arXiv: 2505.11683
• evaluating implicit bias in large language models by attacking from a psychometr | arXiv: 2406.14023
• Evaluating Language Models as Synthetic Data Generators | arXiv: 2412.03679
• evaluating lexical proficiency in neural language models
• evaluating llms for portuguese sentence simplification with linguistic insights
• evaluating multimodal language models as visual assistants for visually impaired | arXiv: 2503.22610
• Evaluating Multimodal Large Language Models on Video Captioning via Monte Carlo Tree Search | arXiv: 2506.11155
• evaluating personalized tool-augmented llms from the perspectives of personaliza
• evaluating sequence labeling on the basis of information theory
• evaluating the evaluation of diversity in commonsense generation | arXiv: 2506.00514
• evaluating theory of an uncertain mind predicting the uncertain beliefs of other
• evaluating visual and cultural interpretation the k-viscuit benchmark with human | arXiv: 2406.16469
• evaluation agent efficient and promptable evaluation framework for visual genera
• evaluation of attribution bias in generator-aware retrieval-augmented large lang | arXiv: 2410.12380
• Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation | arXiv: 2412.13666
• evaluation of llms in medical text summarization the role of vocabulary adaptati | arXiv: 2505.21242
• eventrag enhancing llm generation with event knowledge graphs
• evolvebench a comprehensive benchmark for assessing temporal awareness in llms o
• evowiki evaluating llms on evolving knowledge | arXiv: 2412.13582
• Ewe: Improving Factuality with Explicit Working Memory | arXiv: 2412.18069
• exclusion of thought mitigating cognitive load in large language models for enha
• execute a multilingual benchmark for llm token understanding | arXiv: 2505.17784
• exit context-aware extractive compression for enhancing retrieval-augmented gene | arXiv: 2412.12559
• expectation confirmation preference optimization for multi-turn conversational r | arXiv: 2506.14302
• expert an explainable image captioning evaluation metric with structured explana | arXiv: 2506.24016
• expetrans llms are experiential transfer learners | arXiv: 2505.23191
• explain-then-process using grammar prompting to enhance grammatical acceptabilit | arXiv: 2506.02302
• explaining matters leveraging definitions and semantic expansion for sexism dete | arXiv: 2506.06238
• explaining puzzle solutions in natural language an exploratory study on 6x6 sudo | arXiv: 2505.15993
• explica evaluating explicit causal reasoning in large language models | arXiv: 2502.15487
• explicit and implicit data augmentation for social event detection | arXiv: 2509.04202
• explicit vs implicit investigating social bias in large language models through | arXiv: 2501.02295
• exploiting contextual knowledge in llms through mathcalv-usable information base
• exploiting the shadows unveiling privacy leaks through lower-ranked tokens in la
• exploracoder advancing code generation for multiple unseen apis via planning and | arXiv: 2412.05366
• explorer scaling exploration-driven web trajectory synthesis for multimodal web | arXiv: 2502.11357
• exploring compositional generalization of multimodal llms for medical imaging | arXiv: 2412.20070
• exploring explanations improves the robustness of in-context learning | arXiv: 2506.02378
• exploring forgetting in large language model pre-training | arXiv: 2410.17018
• exploring gender bias in large language models an in-depth dive into the german | arXiv: 2507.16557
• exploring graph representations of logical forms for language modeling | arXiv: 2505.14523
• Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoder | arXiv: 2411.05195
• exploring in-context example generation for machine translation | arXiv: 2506.00507
• exploring in-image machine translation with real-world background | arXiv: 2505.15282
• exploring llms ability to spontaneously and conditionally modify moral expressio
• exploring multimodal challenges in toxic chinese detection taxonomy benchmark an | arXiv: 2505.24341
• exploring multimodal relation extraction of hierarchical tabular data with multi
• Exploring Persona Sentiment Sensitivity in Personalized Dialogue Generation | arXiv: 2502.11423
• exploring the impact of instruction-tuning on llms susceptibility to misinformat | arXiv: 2507.18203
• exposing numeracy gaps a benchmark to evaluate fundamental numerical abilities i | arXiv: 2502.11075
• exposing the achilles heel evaluating llms ability to handle mistakes in mathema
• Extending Complex Logical Queries on Uncertain Knowledge Graphs | arXiv: 2403.01508
• Extending LLM Context Window with Adaptive Grouped Positional Encoding: A Training-Free Method
• f5-tts a fairytaler that fakes fluent and faithful speech with flow matching
• FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models | arXiv: 2502.17924
• factbench a dynamic benchmark for in-the-wild language model factuality evaluati
• factual knowledge in language models robustness and anomalies under simple tempo | arXiv: 2502.01220
• fairi tales evaluation of fairness in indian contexts with a focus on bias and s | arXiv: 2506.23111
• fairness beyond performance revealing reliability disparities across groups in l
• Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs | arXiv: 2502.01926
• fairsteer inference time debiasing for llms with dynamic activation steering | arXiv: 2504.14492
• faithful and robust llm-driven theorem proving for nli explanations | arXiv: 2505.24264
• FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation | arXiv: 2506.08938
• fast or slow integrating fast intuition and deliberate thinking for enhancing vi
• fast-and-frugal text-graph transformers are effective link predictors | arXiv: 2408.06778
• fastdraft how to train your draft | arXiv: 2411.11055
• faster speculative decoding via effective draft decoder with pruned candidate tr
• fastmcts a simple sampling strategy for data synthesis | arXiv: 2502.11476
• fcmr robust evaluation of financial cross-modal multi-hop reasoning | arXiv: 2412.12567
• FEA-Bench: A Benchmark for Evaluating Repository-Level Code Generation for Feature Implementation | arXiv: 2503.06680
• feat a preference feedback dataset through a cost-effective auto-generation and | arXiv: 2506.19325
• federated data-efficient instruction tuning for large language models | arXiv: 2410.10926
• FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Large Language Models | arXiv: 2410.09432
• fidelis faithful reasoning in large language model for knowledge graph question | arXiv: 2405.13873
• fiha autonomous hallucination evaluation in vision-language models with davidson | arXiv: 2409.13612
• filter-and-refine a mllm based cascade system for industrial-scale video content | arXiv: 2507.17204
• FinanceReasoning: Benchmarking Financial Numerical Reasoning More Credible, Comprehensive and Challenging | arXiv: 2506.05828
• Finding A Voice: Exploring the Potential of African American Dialect and Voice Generation for Chatbots | arXiv: 2501.03441
• finding needles in images can multi-modal llms locate fine details | arXiv: 2508.05053
• finding the sweet spot preference data construction for scaling preference optim | arXiv: 2502.16825
• fine-grained video dubbing duration alignment with segment supervised preference | arXiv: 2508.08550
• Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs | arXiv: 2407.03181
• finereason evaluating and improving llms deliberate reasoning through reflective | arXiv: 2502.20238
• finite state automata inside transformers with chain-of-thought a mechanistic st
• finmme benchmark dataset for financial multi-modal reasoning evaluation | arXiv: 2505.24714
• fitcf a framework for automatic feature importance-guided counterfactual example | arXiv: 2501.00777
• fixing distribution shifts of llm self-critique via on-policy self-play training
• flagevalmm a flexible framework for comprehensive multimodal model evaluation | arXiv: 2506.09081
• FlashAudio: Rectified Flows for Fast and High-Fidelity Text-to-Audio Generation | arXiv: 2410.12266
• flashbackefficient retrieval-augmented language modeling for long context infere | arXiv: 2405.04065
• flexora flexible low-rank adaptation for large language models
• flexrag a flexible and comprehensive framework for retrieval-augmented generatio | arXiv: 2506.12494
• Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching | arXiv: 2507.05617
• floorplan-llama aligning architects feedback and domain knowledge in architectur
• focalpo enhancing preference optimizing by focusing on correct preference rankin | arXiv: 2501.06645
• focus evaluating pre-trained vision-language models on underspecification reason
• focus on what matters enhancing medical vision-language models with automatic at
• focused-dpo enhancing code generation through focused preference optimization on | arXiv: 2502.11475
• focusllm precise understanding of long context by dynamic condensing | arXiv: 2408.11745
• foldmoe efficient long sequence moe training via attention-moe pipelining
• follow-up question generation for enhanced patient-provider conversations | arXiv: 2503.17509
• foodtaxo generating food taxonomies with large language models | arXiv: 2505.19838
• forward knows efficient backward path saliency-guided memory-efficient fine-tuni
• FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling | arXiv: 2502.14856
• fractal fine-grained scoring from aggregate text labels | arXiv: 2404.04817
• Frictional Agent Alignment Framework: Slow Down and Don't Break Things | arXiv: 2505.19428
• from ambiguity to accuracy the transformative effect of coreference resolution o | arXiv: 2507.07847
• from benign import toxic jailbreaking the language model via adversarial metapho
• from citations to criticality predicting legal decision influence in the multili
• from data to knowledge evaluating how efficiently language models learn facts | arXiv: 2506.16912
• from english to second language mastery enhancing llms with cross-lingual contin
• from human reading to nlm understanding evaluating the role of eye-tracking data
• from informal to formal -- incorporating and evaluating llms on natural language
• from information to insight leveraging llms for open aspect-based educational su
• from isolates to families using neural networks for automated language affiliati
• from lists to emojis how format bias affects model alignment | arXiv: 2409.11704
• from misleading queries to accurate answers a three-stage fine-tuning method for | arXiv: 2504.11277
• from neurons to semantics evaluating cross-linguistic alignment capabilities of
• from objectives to questions a planning-based framework for educational mathemat
• from outcomes to processes guiding prm learning from orm for inference-time alig
• from perceptions to decisions wildfire evacuation decision prediction with behav
• from real to synthetic synthesizing millions of diversified and complicated user | arXiv: 2506.03968
• from selection to generation a survey
• from selection to generation a survey of llm-based active learning | arXiv: 2502.11767
• from sub-ability diagnosis to human-aligned generation bridging the gap for text
• from teacher to student tracking memorization through model distillation | arXiv: 2506.16170
• from tools to teammates evaluating llms in multi-session coding interactions | arXiv: 2502.13791
• From Trade-off to Synergy: A Versatile Symbiotic Watermarking Framework for Large Language Models | arXiv: 2505.09924
• fusing highly specialized language models for comprehensive expertise
• g-safeguard a topology-guided security lens and treatment on llm-based multi-age
• g2s a general-to-specific learning framework for temporal knowledge graph foreca | arXiv: 2506.00445
• ga-s3 comprehensive social network simulation with group agents | arXiv: 2506.03532
• GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis | arXiv: 2505.18710
• GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding | arXiv: 2409.04183
• game development as human-llm interaction | arXiv: 2408.09386
• gamebot transparent assessment of llm reasoning in games | arXiv: 2412.13602
• GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization | arXiv: 2503.20194
• garage a benchmark with grounding annotations for rag evaluation | arXiv: 2506.07671
• gear generation augmented retrieval | arXiv: 2501.02772
• gear graph-enhanced agent for retrieval-augmented generation | arXiv: 2412.18431
• gec-metrics a unified library for grammatical error correction evaluation | arXiv: 2505.19388
• gellmtextthreesuperioro generalizing large language models for multi-property mo
• Gender Inclusivity Fairness Index (GIFI): A Multilevel Framework | arXiv: 2506.15568
• genderalign an alignment dataset for mitigating gender bias in large language mo
• generalized attention flow feature attribution for transformer models via maximu
• generate first then sample enhancing fake news detection with llm-augmented rein
• generating diverse training samples for relation extraction with large language | arXiv: 2505.23108
• generating pedagogically meaningful visuals for math word problems a new benchma | arXiv: 2506.03735
• Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction | arXiv: 2501.13125
• generating synthetic relational tabular data via structural causal models | arXiv: 2507.03528
• generative frame sampler for long video understanding | arXiv: 2503.09146
• Generative Psycho-Lexical Approach for Constructing Value Systems in Large Language Models | arXiv: 2502.02444
• generative reward modeling via synthetic criteria preference learning
• genetic instruct scaling up synthetic generation of coding instructions for larg | arXiv: 2407.21077
• genius a generalizable and purely unsupervised self-training framework for advan
• genknowsub improving modularity and reusability of llms through general knowledg | arXiv: 2505.10939
• genre a french gender-neutral rewriting system using collective nouns | arXiv: 2505.23630
• Geometric Signatures of Compositionality Across a Language Model's Lifetime | arXiv: 2410.01444
• getreason enhancing image context extraction through hierarchical multi-agent re
• gg-bbq german gender bias benchmark for question answering | arXiv: 2507.16410
• gift-sw gaussian noise injected fine-tuning of salient weights for llms | arXiv: 2408.15300
• GiFT: Gibbs Fine-Tuning for Code Generation | arXiv: 2502.11466
• gigachat family efficient russian language modeling through mixture of experts a | arXiv: 2506.09440
• GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages | arXiv: 2406.11546
• global eye breaking the fixed thinking pattern during the instruction expansion
• global mmlu understanding and addressing cultural and linguistic biases in multi
• godbench a benchmark for multimodal large language models in video comment art | arXiv: 2505.11436
• GORP: Continual Gradient Low-Rank Projection Fine-Tuning for LLMs | arXiv: 2507.02503
• gpt-4 as a homework tutor can improve student engagement and learning outcomes | arXiv: 2409.15981
• grace a granular benchmark for evaluating model calibration against human calibr | arXiv: 2502.19684
• Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models | arXiv: 2507.01915
• GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models | arXiv: 2507.04455
• graf graph retrieval augmented by facts for romanian legal multi-choice question | arXiv: 2412.04119
• GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion | arXiv: 2506.01673
• grammamt improving machine translation with grammar-informed in-context learning | arXiv: 2410.18702
• grampa subword regularisation by skewing uniform segmentation distributions with
• Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning | arXiv: 2506.03939
• Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs | arXiv: 2410.11001
• graph-guided cross-composition feature disentanglement for compositional zero-sh | arXiv: 2408.09786
• graph-structured trajectory extraction from travelogues | arXiv: 2410.16633
• graphcheck breaking long-term text barriers with extracted knowledge graph-power | arXiv: 2502.16514
• graphically speaking unmasking abuse in social media with conversation insights | arXiv: 2504.01902
• graphinsight unlocking insights in large language models for graph structure und
• GraphNarrator: Generating Textual Explanations for Graph Neural Networks | arXiv: 2410.15268
• grat guiding retrieval-augmented reasoning through process rewards tree search
• grounded or a good guesser a per-question balanced dataset to separate blind fro
• group then scale dynamic mixture-of-experts multilingual language model | arXiv: 2506.12388
• Growing Through Experience: Scaling Episodic Grounding in Language Models | arXiv: 2506.01312
• gsq-tuning group-shared exponents integer in fully quantized training for llms o | arXiv: 2502.12913
• GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning | arXiv: 2505.22661
• gui agents a survey | arXiv: 2412.13501
• GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent | arXiv: 2505.16827
• guicourse from general vision language model to versatile gui agent | arXiv: 2406.11317
• GuideBench: Benchmarking Domain-Oriented Guideline Following for LLM Agents | arXiv: 2505.11368
• guidelines for fine-grained sentence-level arabic readability annotation | arXiv: 2410.08674
• guiding not forcing enhancing the transferability of jailbreaking attacks on llm
• Gumbel Reranking: Differentiable End-to-End Reranker Optimization | arXiv: 2502.11116
• gödel agent a self-referential agent framework for recursive self-improvement | arXiv: 2410.04444
• haco-det a study towards fine-grained machine-generated text detection under hum
• haf-rm a hybrid alignment framework for reward model training | arXiv: 2407.04185
• haic improving human action understanding and generation with better captions fo
• Hallucination Detox: Sensitivity Dropout (SenD) for Large Language Model Training | arXiv: 2410.15460
• hallulens llm hallucination benchmark | arXiv: 2504.17550
• HALoGEN: Fantastic LLM Hallucinations and Where to Find Them | arXiv: 2501.08292
• hanging in the balance pivotal moments in crisis counseling conversations | arXiv: 2506.03941
• hard negative mining for domain-specific retrieval in enterprise systems | arXiv: 2505.18366
• harnessing pdf data for improving japanese large multimodal models | arXiv: 2502.14778
• Has Machine Translation Evaluation Achieved Human Parity? | arXiv: 2506.19571
• hash-rag bridging deep hashing with retriever for efficient fine retrieval and a | arXiv: 2505.16133
• hata trainable and hardware-efficient hash-aware top-k attention for scalable la | arXiv: 2506.02572
• HateDay: Insights from a Global Hate Speech Dataset Representative of a Day on Twitter | arXiv: 2411.15462
• have we designed generalizable structural knowledge promptings systematic evalua
• hd-ndes neural differential equations for hallucination detection in llms | arXiv: 2506.00088
• health-llm personalized retrieval-augmented disease prediction system | arXiv: 2402.00746
• helios harmonizing early fusion late fusion and llm reasoning for multi-granular | arXiv: 2603.02248
• hellaswag-pro a large-scale bilingual benchmark for evaluating the robustness of | arXiv: 2502.11393
• Help Me Write a Story: Evaluating LLMs' Ability to Generate Writing Feedback | arXiv: 2507.16007
• helpsteer3 human-annotated feedback and edit data to empower inference-time scal | arXiv: 2503.04378
• hft half fine-tuning for large language models | arXiv: 2404.18466
• hiagent hierarchical working memory management for solving long-horizon agent ta
• HiCUPID: Exploring the Potential of LLMs as Personalized Assistants | arXiv: 2506.01262
• hidden in plain sight evaluation of the deception detection capabilities of llms | arXiv: 2506.09424
• hiddendetect detecting jailbreak attacks against multimodal large language model | arXiv: 2502.14744
• HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model | arXiv: 2503.12941
• hierarchical attention generates better proofs | arXiv: 2504.19188
• Hierarchical Bracketing Encodings for Dependency Parsing as Tagging | arXiv: 2505.11693
• hierarchical document refinement for long-context retrieval-augmented generation | arXiv: 2505.10413
• Hierarchical Level-Wise News Article Clustering via Multilingual Matryoshka Embeddings | arXiv: 2506.00277
• Hierarchical Memory Organization for Wikipedia Generation | arXiv: 2506.23393
• hierarchical retrieval with evidence curation for open-domain financial question | arXiv: 2505.20368
• hierarchical safety realignment lightweight restoration of safety in pruned larg | arXiv: 2505.16104
• hierarchical-task-aware multi-modal mixture of incremental lora experts for embo | arXiv: 2506.04595
• hintsoftruth a multimodal checkworthiness detection dataset with real and synthe
• hoh a dynamic benchmark for evaluating the impact of outdated information on ret | arXiv: 2503.04800
• homebench evaluating llms in smart homes with valid and invalid instructions acr | arXiv: 2505.19628
• hope a novel positional encoding without long-term decay for enhanced context aw
• HotelMatch-LLM: Joint Multi-Task Training of Small and Large Language Models for Efficient Multimodal Hotel Retrieval | arXiv: 2506.07296
• how do llms acquire new knowledge a knowledge circuits perspective on continual | arXiv: 2502.11196
• How does Misinformation Affect Large Language Model Behaviors and Preferences? | arXiv: 2505.21608
• how does response length affect long-form factuality | arXiv: 2505.23295
• how far are llms from being our digital twins a benchmark for persona-based beha | arXiv: 2502.14642
• How Humans and LLMs Organize Conceptual Knowledge: Exploring Subordinate Categories in Italian | arXiv: 2505.21301
• how llms comprehend temporal meaning in narratives a case study in cognitive eva
• how much do encoder models know about word senses
• How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs | arXiv: 2410.13857
• how to compare things properly a study of argument relevance in comparative ques
• How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond | arXiv: 2501.05714
• how to mitigate overfitting in weak-to-strong generalization | arXiv: 2503.04249
• How to Train Long-Context Language Models (Effectively) | arXiv: 2410.02660
• hpss heuristic prompting strategy search for llm evaluators | arXiv: 2502.13031
• hscr hierarchical self-contrastive rewarding for aligning medical vision languag | arXiv: 2506.00805
• human alignment how much do we adapt to llms
• humt dumt measuring and controlling human-like language in llms | arXiv: 2502.13259
• HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases | arXiv: 2412.16311
• hybrid preferences learning to route instances for human vs ai feedback | arXiv: 2410.19133
• hygenar an llm-driven hybrid genetic algorithm for few-shot grammar generation | arXiv: 2505.16978
• hykge a hypothesis knowledge graph enhanced rag framework for accurate and relia
• hyperfm fact-centric multimodal fusion for link prediction over hyper-relational
• hypothetical documents or knowledge leakage rethinking llm-based query expansion | arXiv: 2504.14175
• i see what you mean co-speech gestures for reference resolution in multimodal di | arXiv: 2503.00071
• i0t embedding standardization method towards zero modality gap | arXiv: 2412.14384
• iagent llm agent as a shield between user and recommender systems | arXiv: 2502.14662
• iam efficient inference through attention mapping between different-scale llms | arXiv: 2507.11953
• icr probe tracking hidden state dynamics for reliable hallucination detection in | arXiv: 2507.16488
• idea enhancing the rule learning ability of large language model agent through i | arXiv: 2408.10455
• identifying cellular niches in spatial transcriptomics an investigation into the
• identifying open challenges in language identification
• Identifying Reliable Evaluation Metrics for Scientific Text Revision | arXiv: 2506.04772
• if attention serves as a cognitive
• if attention serves as a cognitive model of human memory retrieval what is the p | arXiv: 2502.11469
• if eleanor rigby had met chatgpt a study on loneliness in a post-llm world | arXiv: 2412.01617
• imol incomplete-modality-tolerant learning for multi-domain fake news video dete
• impara-ged grammatical error detection is boosting reference-free grammatical er | arXiv: 2506.02899
• impart importance-aware delta-sparsification for improved model compression and
• impartial multi-task representation learning via variance-invariant probabilisti
• implicit cross-lingual rewarding for efficient multilingual preference alignment | arXiv: 2503.04647
• implicit reasoning in transformers is reasoning through shortcuts | arXiv: 2503.07604
• ImpliHateVid: Implicit Hate Speech Detection in Videos | arXiv: 2508.06570
• improve language model and brain alignment via associative memory | arXiv: 2505.13844
• improve rule retrieval and reasoning with self-induction and relevance reestimat | arXiv: 2505.10870
• improve safety training of large language models with safety-critical singular v
• Improve Vision Language Model Chain-of-thought Reasoning | arXiv: 2410.16198
• Improved Unbiased Watermark for Large Language Models | arXiv: 2502.11268
• Improving Automatic Evaluation of LLMs in Biomedical Relation Extraction via LLMs-as-the-Judge | arXiv: 2506.00777
• improving chain-of-thought reasoning via quasi-symbolic abstractions | arXiv: 2502.12616
• improving contextual faithfulness of large language models via retrieval heads-i
• improving continual pre-training through seamless data packing | arXiv: 2505.22018
• improving dialogue discourse parsing through discourse-aware utterance clarifica
• improving dialogue state tracking through combinatorial search for in-context ex | arXiv: 2506.00622
• improving fairness of large language models in multi-document summarization | arXiv: 2506.07479
• Improving Language and Modality Transfer in Translation by Character-level Modeling | arXiv: 2505.24561
• improving low-resource morphological inflection via self-supervised objectives | arXiv: 2506.05227
• improving medical large vision-language models with abnormal-aware feedback | arXiv: 2501.01377
• improving mllms document image machine translation via synchronously self-review | arXiv: 2507.08309
• improving model factuality with fine-grained critique-based evaluator | arXiv: 2410.18359
• improving parallel sentence mining for low-resource and endangered languages
• improving preference extraction in llms by identifying latent knowledge through | arXiv: 2503.17755
• Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's Characteristics | arXiv: 2506.00637
• in prospect and retrospect reflective memory management for long-term personaliz | arXiv: 2503.08026
• in the llm era word sense induction remains unsolved | arXiv: 2603.11686
• In-the-wild Audio Spatialization with Flexible Text-guided Localization | arXiv: 2506.00927
• incongruity-aware tension field network for multi-modal sarcasm detection
• inconsistent tokenizations cause language models to be perplexed by japanese gra
• incorporating domain knowledge into materials tokenization | arXiv: 2506.11115
• indicsynth a large-scale multilingual synthetic speech dataset for low-resource
• inducing lexicons of in-group language with socio-temporal context | arXiv: 2409.19257
• inductionbench llms fail in the simplest complexity class | arXiv: 2502.15823
• inews a multimodal dataset for modeling personalized affective responses to news | arXiv: 2503.03335
• Inference Compute-Optimal Video Vision Language Models | arXiv: 2505.18855
• inferring from logits exploring best practices for decoding-free generative cand
• inferring functionality of attention heads from their parameters | arXiv: 2412.11965
• infinisst simultaneous translation of unbounded speech with large language model | arXiv: 2503.02969
• influences on llm calibration a study of response agreement loss functions and p | arXiv: 2501.03991
• infogen generating complex statistical infographics from documents | arXiv: 2507.20046
• information extraction from visually rich documents using llm-based organization
• information locality as an inductive bias for neural language models | arXiv: 2506.05136
• injongo a multicultural intent detection and slot-filling dataset for 16 african | arXiv: 2502.09814
• inner thinking transformer leveraging dynamic depth scaling to foster adaptive i | arXiv: 2502.13842
• innovative image fraud detection with cross-sample anomaly analysis the power of
• InSerter: Speech Instruction Following with Unsupervised Interleaved Pre-training | arXiv: 2503.02769
• Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs | arXiv: 2410.08145
• InspireDebate: Multi-Dimensional Evaluation-Guided Reasoning for Debating | arXiv: 2506.18102
• instance-selection-inspired undersampling strategies for bias reduction in small
• instruction tuning on public government and cultural data for low-resource langu
• instruction-tuning data synthesis from scratch via web reconstruction | arXiv: 2504.15573
• instructpart task-oriented part segmentation with instruction reasoning | arXiv: 2505.18291
• integrating audio visual and semantic information for enhanced multimodal speake
• inter-passage verification for multi-evidence multi-answer qa | arXiv: 2506.00425
• interact enabling interactive question-driven learning in large language models | arXiv: 2412.11388
• interactive and expressive code-augmented planning with large language models | arXiv: 2411.13826
• interactive evolution a neural-symbolic self-training framework for large langua
• interlocking-free selective rationalization through genetic-based learning | arXiv: 2412.10312
• internal and external impacts of natural language processing papers | arXiv: 2505.16061
• internal value alignment in large language models through controlled value vecto | arXiv: 2507.11316
• internlm-xcomposer25-reward a simple yet effective multi-modal reward model | arXiv: 2501.12368
• InterpoLL: Mitigating Shortcut Learning with InterpoLated Learning | arXiv: 2507.05527
• interpret and improve in-context learning via the lens of input-label mappings
• introducing graph context into language models through parameter-efficient fine-
• introducing verification task of set consistency with set-consistency energy net
• Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process | arXiv: 2405.11870
• investalign overcoming data scarcity in aligning large language models with inve
• investigating and enhancing the robustness of large multimodal models against te
• investigating and enhancing vision-audio capability in omnimodal large language | arXiv: 2503.00059
• investigating and extending homans social exchange theory with large language mo
• investigating context-faithfulness in large language models the roles of memory | arXiv: 2409.10955
• investigating language preference of multilingual rag systems | arXiv: 2502.11175
• investigating the robustness of retrieval-augmented generation at the query leve | arXiv: 2507.06956
• investorbench a benchmark for financial decision-making tasks with llm-based age
• IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization | arXiv: 2411.06208
• ipo your language model is secretly a preference classifier | arXiv: 2502.16182
• iquest an iterative question-guided framework for knowledge base question answer | arXiv: 2506.01784
• iris interactive research ideation system for accelerating scientific discovery | arXiv: 2504.16728
• iris interpretable retrieval-augmented classification for long interspersed docu
• IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery | arXiv: 2510.09217
• Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training | arXiv: 2502.12734
• IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory | arXiv: 2506.01048
• is it just semantics a case study of discourse particle understanding in llms | arXiv: 2506.04534
• is linguistically-motivated data augmentation worth it | arXiv: 2506.03593
• is llm an overconfident judge unveiling the capabilities of llms in detecting of | arXiv: 2502.06207
• Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering | arXiv: 2502.13962
• isr self-refining referring expressions for entity grounding
• its not a walk in the park challenges of idiom translation in speech-to-text sys | arXiv: 2506.02995
• its not bragging if you can back it up can llms understand braggings
• jailbreak large vision-language models through multi-modal linkage | arXiv: 2412.00473
• jailbreaking one step is enough | arXiv: 2412.12621
• JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs | arXiv: 2402.05668
• jarvis-vla post-training large-scale vision language models to play visual games | arXiv: 2503.16365
• jopa explaining large language models generation via joint prompt attribution | arXiv: 2405.20404
• jsontuning towards generalizable robust and controllable instruction tuning | arXiv: 2310.02953
• judging the judges can large vision-language models fairly evaluate chart compre | arXiv: 2505.08468
• just a scratch enhancing llm capabilities for self-harm detection through intent | arXiv: 2506.05073
• just go parallel improving the multilingual capabilities of large language model | arXiv: 2506.13044
• JuStRank: Benchmarking LLM Judges for System Ranking | arXiv: 2412.09569
• katfishnet detecting llm-generated korean text through linguistic feature analys | arXiv: 2503.00032
• kazmmlu evaluating language models on kazakh russian and regional knowledge of k | arXiv: 2502.12829
• kda automated data generation pipeline for detoxifying implicitly offensive lang | arXiv: 2506.13513
• kerl knowledge-enhanced personalized recipe recommendation using large language | arXiv: 2505.14629
• kg-agent an efficient autonomous agent framework for complex reasoning over know
• kirag knowledge-driven iterative retriever for enhancing retrieval-augmented gen
• kitab-bench a comprehensive multi-domain benchmark for arabic ocr and document u | arXiv: 2502.14949
• knockout llm assessment using large language models for evaluations through iter | arXiv: 2506.03785
• know you first and be you better modeling human-like user simulators via implici | arXiv: 2502.18968
• know your mistakes towards preventing overreliance on task-oriented conversation | arXiv: 2501.10316
• knowcoder-x boosting multilingual information extraction via code | arXiv: 2411.04794
• Knowledge Boundary of Large Language Models: A Survey | arXiv: 2412.12472
• knowledge decoupling via orthogonal projection for lifelong editing of large lan
• Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation | arXiv: 2501.02226
• knowledge image matters improving knowledge-based visual reasoning with multi-im
• knowledge tracing in programming education integrating students questions | arXiv: 2502.10408
• knowledge-augmented multimodal clinical rationale generation for disease diagnos
• KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education? | arXiv: 2412.08985
• kodcode a diverse challenging and verifiable synthetic dataset for coding | arXiv: 2503.02951
• KoGEM: Polishing Every Facet of the GEM: Testing Linguistic Competence of LLMs and Humans in Korean | arXiv: 2506.01237
• KokoroChat: A Japanese Psychological Counseling Dialogue Dataset Collected via Role-Playing by Trained Counselors | arXiv: 2506.01357
• kristeva close reading as a novel task for benchmarking interpretive reasoning | arXiv: 2505.09825
• KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional Embedding | arXiv: 2507.11273
• L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models | arXiv: 2402.04902
• La Leaderboard: A Large Language Model Leaderboard for Spanish Varieties and Languages of Spain and Latin America | arXiv: 2507.00999
• LACA: Improving Cross-lingual Aspect-Based Sentiment Analysis with LLM Data Augmentation | arXiv: 2508.09515
• lacuna inc at semeval-2025 task 4 lora-enhanced influence-based unlearning for l | arXiv: 2506.04044
• ladder language-driven slice discovery and error rectification in vision classif | arXiv: 2408.07832
• LADM: Long-context Training Data Selection with Attention-based Dependency Measurement | arXiv: 2503.02502
• lamb a training-free method to enhance the long-context understanding of ssms vi
• langmark a multilingual dataset for automatic post-editing | arXiv: 2511.17153
• LangSAMP: Language-Script Aware Multilingual Pretraining | arXiv: 2409.18199
• language complexity measurement as a noisy zero-shot proxy for evaluating llm pe | arXiv: 2502.11578
• language constrained multimodal hyper adapter for many-to-many multimodal summar
• Language Fusion for Parameter-Efficient Cross-lingual Transfer (FLARE) | arXiv: 2501.06892
• language model fine-tuning on scaled survey data for predicting distributions of | arXiv: 2502.16761
• language model probabilities are not calibrated in numeric contexts | arXiv: 2410.16007
• language models can subtly deceive without lying a case study on strategic phras | arXiv: 2405.04325
• language models grow less humanlike beyond phase transition | arXiv: 2502.18802
• Language Models Resist Alignment: Evidence From Data Compression | arXiv: 2406.06144
• Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More | arXiv: 2503.10542
• Language-Codec: Bridging Discrete Codec Representations and Speech Language Models | arXiv: 2402.12208
• LAQuer: Localized Attribution Queries in Content-grounded Generation | arXiv: 2506.01187
• large language and protein assistant for protein-protein interactions prediction
• large language and reasoning models are shallow disjunctive reasoners | arXiv: 2503.23487
• large language models are good relational learners | arXiv: 2506.05725
• large language models for predictive analysis how far are they | arXiv: 2505.17149
• large language models in bioinformatics a survey | arXiv: 2503.04490
• large language models struggle to describe the haystack without human help a soc
• large margin representation learning for robust cross-lingual named entity recog
• large vocabulary size improves large language models | arXiv: 2406.16508
• latim measuring latent token-to-token interactions in mamba models | arXiv: 2502.15612
• LazyReview: A Dataset for Uncovering Lazy Thinking in NLP Peer Reviews | arXiv: 2504.11042
• ldir low-dimensional dense and interpretable text embeddings with relative repre | arXiv: 2505.10354
• leancode understanding models better for code simplification of pre-trained larg | arXiv: 2505.14759
• learn to memorize scalable continual learning in semiparametric models with mixt
• learning auxiliary tasks improves reference-free hallucination detection in open
• learning first-order logic rules for argumentation mining
• learning from litigation graphs and llms for retrieval and reasoning in ediscove | arXiv: 2405.19164
• learning from negative samples in biomedical generative entity linking | arXiv: 2408.16493
• learning to align multi-faceted evaluation a unified and robust framework | arXiv: 2502.18874
• learning to generate structured output with schema reinforcement learning | arXiv: 2502.18878
• learning to look at the other side a semantic probing study of word embeddings i
• learning to reason from feedback at test-time | arXiv: 2502.15771
• Learning to Reason Over Time: Timeline Self-Reflection for Temporal Reasoning | arXiv: 2504.05258
• learning to rewrite generalized llm-generated text detection | arXiv: 2408.04237
• learning together to perform better teaching small-scale llms to collaborate via
• led-merging mitigating safety-utility conflicts in model merging with location-e
• legalagentbench evaluating llm agents in legal domain | arXiv: 2412.17259
• legalreasoner step-wised verification-correction for legal judgment reasoning | arXiv: 2506.07443
• lemonade a large multilingual expert-annotated abstractive event dataset for the | arXiv: 2506.00980
• length controlled generation for black-box llms | arXiv: 2412.14656
• length-induced embedding collapse in plm-based models | arXiv: 2410.24200
• lesa learnable llm layer scaling-up | arXiv: 2502.13794
• less for more enhanced feedback-aligned mixed llms for molecule caption generati
• less is more explainable and efficient icd code prediction with clinical entitie
• less mature is more adaptable for sentence-level language modeling
• Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts | arXiv: 2505.22582
• lets-c leveraging text embedding for time series classification | arXiv: 2407.06533
• Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration | arXiv: 2502.11882
• leveraging human production-interpretation asymmetries to test llm cognitive pla | arXiv: 2503.17579
• leveraging in-context learning for political bias testing of llms | arXiv: 2506.22232
• leveraging large language models to measure gender representation bias in gender | arXiv: 2406.13677
• Leveraging Self-Attention for Input-Dependent Soft Prompting in LLMs | arXiv: 2506.05629
• leveraging unit language guidance to advance speech modeling in textless speech- | arXiv: 2505.15333
• leveraging variation theory in counterfactual data augmentation for optimized ac | arXiv: 2408.03819
• lexclipr cross-lingual paragraph retrieval from legal judgments
• lexgen domain-aware multilingual lexicon generation | arXiv: 2405.11200
• lexical diversity-aware relevance assessment for retrieval-augmented generation
• lexical recall or logical reasoning probing the limits of reasoning abilities in
• lexkeyplan planning with keyphrases and retrieval augmentation for legal text ge
• lextempus enhancing temporal generalizability of legal language models through d
• library-like behavior in language models is enhanced by self-referencing causal | arXiv: 2501.13491
• lifbench evaluating the instruction following performance and stability of large
• limited generalizability in argument mining state-of-the-art models learn datase | arXiv: 2505.22137
• limited-resource adapters are regularizers not linguists | arXiv: 2505.24525
• Linguistic Generalizability of Test-Time Scaling in Mathematical Reasoning | arXiv: 2502.17407
• literary evidence retrieval via long-context language models | arXiv: 2506.03090
• Literature Meets Data: A Synergistic Approach to Hypothesis Generation | arXiv: 2410.17309
• Llama See, Llama Do: A Mechanistic Perspective on Contextual Entrainment and Distraction in LLMs | arXiv: 2505.09338
• llama-omni 2 llm-based real-time spoken chatbot with autoregressive streaming sp
• llamaduo llmops pipeline for seamless migration from service llms to small-scale | arXiv: 2408.13467
• llamas have feelings too unveiling sentiment and emotion representations in llam
• llase-g1 incentivizing generalization capability for llama-based speech enhancem
• llava steering visual instruction tuning with 500x fewer parameters through moda
• llm agents making agent tools | arXiv: 2502.11705
• LLM as a Broken Telephone: Iterative Generation Distorts Information | arXiv: 2502.20258
• llm as effective streaming processor bridging streaming-batch mismatches with gr | arXiv: 2505.16983
• llm as entity disambiguator for biomedical entity-linking
• LLM Braces: Straightening Out LLM Predictions with Relevant Sub-Updates | arXiv: 2503.16334
• llm meets scene graph can large language models understand and generate scene gr | arXiv: 2505.19510
• llm-based rumor detection via influence guided sample selection and game-based p
• llm-enhanced self-evolving reinforcement learning for multi-step e-commerce paym | arXiv: 2509.18719
• llm-guided semantic-aware clustering for topic modeling
• LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs | arXiv: 2404.10304
• llms can achieve high-quality simultaneous machine translation as efficiently as | arXiv: 2504.09570
• llms can be easily confused by instructional distractions | arXiv: 2502.04362
• LLMs can Perform Multi-Dimensional Analytic Writing Assessments | arXiv: 2502.11368
• LLMs Can Simulate Standardized Patients via Agent Coevolution | arXiv: 2412.11716
• llms caught in the crossfire malware requests and jailbreak challenges | arXiv: 2506.10022
• LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks | arXiv: 2406.18403
• llms know their vulnerabilities uncover safety gaps through natural distribution | arXiv: 2410.10700
• llms persona-plug personalized llms | arXiv: 2409.11901
• llms syntactically adapt their language use to their conversational partner
• llms trust humans more thats a problem unveiling and mitigating the authority bi
• llmsrxllm25 less is more enhancing structured multi-agent reasoning via quality- | arXiv: 2504.16408
• llmtimesmapreduce simplified long-sequence processing using large language model
• locagent graph-guided llm agents for code localization | arXiv: 2503.09089
• local look-ahead guidance via verifier-in-the-loop for automated theorem proving | arXiv: 2503.09730
• localizing and mitigating errors in long-form question answering | arXiv: 2407.11930
• Locate-and-Focus: Enhancing Terminology Translation in Speech Language Models | arXiv: 2507.18263
• logic-regularized verifier elicits reasoning from llms
• logical consistency is vital neural-symbolic information retrieval for negative- | arXiv: 2505.22299
• logical forms complement probability in understanding language model and human p | arXiv: 2502.09589
• LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning | arXiv: 2409.12929
• logicqa logical anomaly detection with vision language model generated questions | arXiv: 2503.20252
• LoGU: Long-form Generation with Uncertainty Expressions | arXiv: 2410.14309
• longbench v2 towards deeper understanding and reasoning on realistic long-contex | arXiv: 2412.15204
• LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating | arXiv: 2412.18424
• longdpo unlock better long-form generation abilities for llms via critique-augme | arXiv: 2502.02095
• longrecipe recipe for efficient long context generalization in large language mo
• longred mitigating short-text degradation of long-context large language models | arXiv: 2502.07365
• longreward improving long-context large language models with ai feedback | arXiv: 2410.21252
• longsafety evaluating long-context safety of large language models | arXiv: 2502.16971
• look both ways and no sink converting llms into text encoders without training
• lost in literalism how supervised training shapes translationese in llms | arXiv: 2503.04369
• lost in multilinguality dissecting cross-lingual factual inconsistency in transf | arXiv: 2504.04264
• lost in the context insufficient and distracted attention to contexts in prefere
• lotus a leaderboard for detailed image captioning from quality to societal bias | arXiv: 2507.19362
• low-bit quantization favors undertrained llms
• low-perplexity llm-generated sequences and where to find them | arXiv: 2507.01844
• low-rank interconnected adaptation across layers | arXiv: 2407.09946
• lpoi listwise preference optimization for vision language models | arXiv: 2505.21061
• lr2bench evaluating long-chain reflective reasoning capabilities of large langua | arXiv: 2502.17848
• LSSF: Safety Alignment via Low-Rank Safety Subspace Fusion | arXiv: 2602.00038
• m-mad multidimensional multi-agent debate for advanced machine translation evalu | arXiv: 2412.20127
• M-RewardBench: Evaluating Reward Models in Multilingual Settings | arXiv: 2410.15522
• m2rc-eval massively multilingual repository-level code completion evaluation | arXiv: 2410.21157
• M2S: Multi-turn to Single-turn jailbreak in Red Teaming for LLMs | arXiv: 2503.04856
• m3finmeeting a multilingual multi-sector and multi-task financial meeting unders | arXiv: 2506.02510
• m3hg multimodal multi-scale and multi-type node heterogeneous graph for emotion | arXiv: 2508.18740
• machine translation models are zero-shot detectors of translation direction | arXiv: 2401.06769
• macp minimal yet mighty adaptation via hierarchical cosine projection | arXiv: 2410.09103
• madakv adaptive modality-perception kv cache eviction for efficient multimodal l | arXiv: 2506.15724
• magic-vqa multimodal and grounded inference with commonsense knowledge for visua | arXiv: 2503.18491
• magnet augmenting generative decoders with representation learning and infilling | arXiv: 2501.08648
• magnet multi-turn tool-use data synthesis and distillation via graph translation | arXiv: 2503.07826
• main-rag multi-agent filtering retrieval-augmented generation | arXiv: 2501.00332
• make imagination clearer stable diffusion-based visual imagination for multimoda
• making fetch happen finding emergent dog whistles through common habitats | arXiv: 2412.12072
• making llms better many-to-many speech-to-text translators with curriculum learn | arXiv: 2409.19510
• mam modular multi-agent framework for multi-modal medical diagnosis via role-spe | arXiv: 2506.19835
• mamba knockout for unraveling factual information flow | arXiv: 2505.24244
• MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale | arXiv: 2412.05237
• Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System | arXiv: 2410.09403
• maple enhancing review generation with multi-aspect prompt learning in explainab
• mapmake schema guided text to table generation | arXiv: 2505.23174
• mapnav a novel memory representation via annotated semantic maps for vlm-based v
• maporl multi-agent post-co-training for collaborative large language models with | arXiv: 2502.18439
• Mapping 1,000+ Language Models via the Log-Likelihood Vector | arXiv: 2502.16173
• mapping the podcast ecosystem with the structured podcast research corpus | arXiv: 2411.07892
• mapqator an extensible framework for efficient annotation of map-based qa datase | arXiv: 2412.21015
• MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment | arXiv: 2503.01711
• Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models | arXiv: 2507.11882
• marco-o1 v2 towards widening the distillation bottleneck for reasoning models | arXiv: 2503.01461
• mars benchmarking the metaphysical reasoning abilities of language models with a | arXiv: 2406.02106
• masking in multi-hop qa an analysis of how language models perform with context | arXiv: 2505.11754
• masks can be learned as an alternative to experts
• masrouter learning to route llms for multi-agent systems | arXiv: 2502.11133
• Math Neurosurgery: Isolating Language Models' Math Reasoning Abilities Using Only Forward Passes | arXiv: 2410.16930
• mathcala3 automatic alignment framework for attributed text generation
• mathcoder-vl bridging vision and code for enhanced multimodal mathematical reaso | arXiv: 2505.10557
• MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion | arXiv: 2503.16212
• maxife multilingual and cross-lingual instruction following evaluation | arXiv: 2506.01776
• maximal matching matters preventing representation collapse for robust cross-mod | arXiv: 2506.21538
• maximizing the effectiveness of larger bert models for compression
• mcbe a multi-task chinese bias evaluation benchmark for large language models | arXiv: 2507.02088
• mcs-bench a comprehensive benchmark for evaluating multimodal large language mod
• mdbench a synthetic multi-document reasoning benchmark generated with knowledge | arXiv: 2506.14927
• mdcure a scalable pipeline for multi-document instruction-following | arXiv: 2410.23463
• mdit-bench evaluating the dual-implicit toxicity in large multimodal models | arXiv: 2505.17144
• meaning beyond truth conditions evaluating discourse level understanding via ana
• meaning variation and data quality in the corpus of founding era american englis
• measuring data diversity for instruction tuning a systematic analysis and a reli | arXiv: 2502.17184
• measuring social biases in masked language models by proxy of prediction quality | arXiv: 2402.13954
• measuring the effect of transcription noise on downstream language understanding | arXiv: 2502.13645
• mechanistic interpretability of emotion inference in large language models | arXiv: 2502.05489
• medbiorag semantic search and retrieval-augmented generation with large language | arXiv: 2512.10996
• meddxagent a unified modular agent framework for explainable automatic different | arXiv: 2502.19175
• medical graph rag evidence-based medical large language model via graph retrieva
• megapairs massive data synthesis for universal multimodal retrieval | arXiv: 2412.14475
• megen generative backdoor into large language models via model editing | arXiv: 2408.10722
• meit multimodal electrocardiogram instruction tuning on large language models fo | arXiv: 2403.04945
• membench towards more comprehensive evaluation on the memory of llm-based agents | arXiv: 2506.21605
• memeqa holistic evaluation for meme understanding
• memerag a multilingual end-to-end meta-evaluation benchmark for retrieval augmen | arXiv: 2502.17163
• memorization a close look at books | arXiv: 2504.12549
• Memorization Inheritance in Sequence-Level Knowledge Distillation for Neural Machine Translation | arXiv: 2502.01491
• memorizing is not enough deep knowledge injection through reasoning | arXiv: 2504.00472
• MEraser: An Effective Fingerprint Erasure Approach for Large Language Models | arXiv: 2506.12551
• merge hijacking backdoor attacks to model merging of large language models | arXiv: 2505.23561
• MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models | arXiv: 2410.08604
• meta-learning neural mechanisms rather than bayesian priors | arXiv: 2503.16048
• Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models | arXiv: 2504.14194
• meta-reflection a feedback-free reflection learning framework | arXiv: 2412.13781
• meta-tool unleash open-world function calling capabilities of general-purpose la
• metal a multi-agent framework for chart generation with test-time scaling | arXiv: 2502.17651
• metasynth meta-prompting-driven agentic scaffolds for diverse synthetic data gen | arXiv: 2504.12563
• mexma token-level objectives improve sentence representations | arXiv: 2409.12737
• MHA2MLA: Towards Economical Inference by Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs | arXiv: 2502.14837
• Micro-Act: Mitigate Knowledge Conflict in QA via Actionable Self-Reasoning | arXiv: 2506.05278
• Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMs | arXiv: 2502.14830
• milic-eval benchmarking multilingual llms for chinas minority languages | arXiv: 2503.01150
• mimicking the familiar dynamic command generation for information theft attacks
• mind a multi-agent framework for zero-shot harmful meme detection | arXiv: 2507.06908
• mind the belief gap group identity in the world of llms | arXiv: 2503.02016
• mind the gap static and interactive evaluations of large audio models | arXiv: 2502.15919
• mind the gesture evaluating ai sensitivity to culturally offensive non-verbal ge
• mind your tone investigating how prompt politeness affects llm accuracy short pa | arXiv: 2510.04950
• MindRef: Mimicking Human Memory for Hierarchical Reference Retrieval with Fine-Grained Location Awareness | arXiv: 2402.17010
• minilongbench the low-cost long context understanding benchmark for large langua
• minimal pair-based evaluation of code-switching | arXiv: 2506.01840
• mining complex patterns of argumentative reasoning in natural language dialogue
• mining the uncertainty patterns of humans and models in the annotation of moral
• mir methodology inspiration retrieval for scientific research problems | arXiv: 2506.00249
• mira empowering one-touch ai services on smartphones with mllm-based instruction | arXiv: 2509.13773
• mirage exploring how large language models perform in complex social interactive | arXiv: 2501.01652
• mire enhancing multimodal queries representation via fusion-free modality intera | arXiv: 2411.08334
• mis-prompt benchmarking large language models for proactive error handling | arXiv: 2506.00064
• misp-meeting a real-world dataset with multimodal cues for long-form meeting tra
• mitigate position bias in large language models via scaling a single dimension | arXiv: 2406.02536
• mitigating confounding in speech-based dementia detection through weight masking | arXiv: 2506.05610
• mitigating lost-in-retrieval problems in retrieval augmented multi-hop question | arXiv: 2502.14245
• mitigating negative interference in multilingual sequential knowledge editing th | arXiv: 2506.10800
• mitigating non-representative prototypes and representation bias in few-shot con
• mitigating posterior salience attenuation in long-context llms with positional c | arXiv: 2506.08371
• Mitigating Selection Bias with Node Pruning and Auxiliary Options | arXiv: 2409.18857
• Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning | arXiv: 2503.13360
• mixture of decoding an attention-inspired adaptive decoding strategy to mitigate | arXiv: 2505.17061
• mixture of insightful experts mote the synergy of reasoning chains and expert mi
• mixture of ordered scoring experts for cross-prompt essay trait scoring
• mixture of small and large models for chinese spelling check | arXiv: 2506.06887
• mixtures of in-context learners | arXiv: 2411.02830
• mlas-lora language-aware parameters detection and lora-based knowledge transfer
• mldebugging towards benchmarking code debugging across multi-library scenarios | arXiv: 2506.13824
• mm-verify enhancing multimodal reasoning with chain-of-thought verification | arXiv: 2502.13383
• mmboundary advancing mllm knowledge boundary awareness through reasoning step co | arXiv: 2505.23224
• MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence Calibration | arXiv: 2505.23224
• mmdend dendrite-inspired multi-branch multi-compartment parallel spiking neuron
• mmina benchmarking multihop multimodal internet agents | arXiv: 2404.09992
• mmlu-cf a contamination-free multi-task language understanding benchmark | arXiv: 2412.15194
• mmmu pro robust benchmark
• MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark | arXiv: 2409.02813
• mmrc a large-scale benchmark for understanding multimodal large language model i
• mms-llama efficient llm-based audio-visual speech recognition with minimal multi | arXiv: 2503.11315
• MMSafeAware: Can't See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs | arXiv: 2502.11184
• mmscibench benchmarking language models on chinese multimodal scientific problem | arXiv: 2503.01891
• mmunlearner reformulating multimodal machine unlearning in the era of multimodal | arXiv: 2502.11051
• mobilora accelerating lora-based llm inference on mobile devices via context-awa
• moc mixtures of text chunking learners for retrieval-augmented generation system | arXiv: 2503.09600
• mockconf a student interpretation dataset analysis word- and span-level alignmen | arXiv: 2506.04848
• Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models | arXiv: 2502.15910
• Model Extrapolation Expedites Alignment | arXiv: 2404.16792
• model performance-guided evaluation data selection for effective prompt optimiza | arXiv: 2505.10736
• modeling complex semantics relation with contrastively fine-tuned relational enc
• modeling the evolution of english noun compounds with feature-rich diachronic co
• modeling uncertainty in composed image retrieval via probabilistic embeddings
• Modular Sentence Encoders: Separating Language Specialization from Cross-Lingual Alignment | arXiv: 2407.14878
• molrag unlocking the power of large language models for molecular property predi
• monitoring decoding mitigating hallucination via evaluating the factuality of pa | arXiv: 2503.03106
• MoQAE: Mixed-Precision Quantization for Long-Context LLM Inference via Mixture of Quantization-Aware Experts | arXiv: 2506.07533
• more a mixture of low-rank experts for adaptive multi-task learning | arXiv: 2505.22694
• more is not always better enhancing many-shot in-context learning with different
• Morpher: Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? | arXiv: 2412.08174
• MorphMark: Flexible Adaptive Watermarking for Large Language Models | arXiv: 2505.11541
• mosaic multiple observers spotting ai content | arXiv: 2409.07615
• moscar a large-scale multilingual and multimodal document-level corpus | arXiv: 2406.08707
• movie101v2 improved movie narration benchmark | arXiv: 2404.13370
• mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding | arXiv: 2409.03420
• MPO: Multilingual Safety Alignment via Reward Gap Optimization | arXiv: 2505.16869
• mpvstance mitigating hallucinations in stance detection with multi-perspective v
• mrakl multilingual retrieval-augmented knowledge graph construction for low-reso | arXiv: 2507.16011
• mt-raig novel benchmark and evaluation framework for retrieval-augmented insight | arXiv: 2502.11735
• mtextthreesuperiorgqa a multi-entity multi-hop multi-setting graph question answ
• mtsa multi-turn safety alignment for llms through multi-round red-teaming | arXiv: 2505.17147
• mtvqa benchmarking multilingual text-centric visual question answering | arXiv: 2405.11985
• multi-agent collaboration via cross-team orchestration | arXiv: 2406.08979
• Multi-Attribute Steering of Language Models via Targeted Intervention | arXiv: 2502.12446
• Multi-document Summarization through Event Relation Graph Reasoning for Framing Bias Mitigation | arXiv: 2506.12978
• multi-facet blending for faceted query-by-example retrieval | arXiv: 2412.01443
• multi-hop question generation via dual-perspective keyword guidance | arXiv: 2505.15299
• multi-hop reasoning for question answering with hyperbolic representations | arXiv: 2507.03612
• multi-level association refinement network for dialogue aspect-based sentiment q
• Multi-Level Explanations for Generative Language Models | arXiv: 2403.14459
• multi-level relevance document identifier learning for generative retrieval
• multi-modality expansion and retention for llms through parameter merging and de
• multi-perspective alignment for increasing naturalness in neural machine transla | arXiv: 2412.08473
• multi-prompting decoder helps better language understanding | arXiv: 2406.06279
• multi-task adversarial attacks against black-box model with few-shot queries | arXiv: 2508.10039
• multiagentbench evaluating the collaboration and competition of llm agents | arXiv: 2503.01935
• multilingual arbitration optimizing data pools to accelerate multilingual progre
• multilingual encoder knows more than you realize shared weights pretraining for | arXiv: 2502.10852
• multilingual gloss-free sign language translation towards building a sign langua
• multilingual retrieval augmented generation for culturally-sensitive tasks a ben | arXiv: 2410.01171
• multilingual text-to-image generation magnifies gender stereotypes
• multimed multilingual medical speech recognition via attention encoder decoder | arXiv: 2409.14074
• MultiMM: Cultural Bias Matters — Cross-Cultural Benchmark for Multimodal Metaphors | arXiv: 2506.06987
• multimodal coreference resolution for chinese social media dialogues dataset and | arXiv: 2504.14321
• multimodal pragmatic jailbreak on text-to-image models | arXiv: 2409.19149
• multimodal transformers are hierarchical modal-wise heterogeneous graphs | arXiv: 2505.01068
• Multiple LLM Agents Debate for Equitable Cultural Alignment | arXiv: 2505.24671
• MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts | arXiv: 2406.12549
• musc improving complex instruction following with multi-granularity self-contras
• musts multilingual semantic textual similarity benchmark
• Mutual-Taught for Co-adapting Policy and Reward Models | arXiv: 2506.06292
• my life is miserable have to sign 500 autographs everyday exposing humblebraggin | arXiv: 2412.20057
• my words imply your opinion reader agent-based propagation enhancement for perso
• nametag 3 a tool and a service for multilingualmultitagset ner | arXiv: 2506.05949
• narrative media framing in political discourse | arXiv: 2506.00737
• Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention | arXiv: 2502.11089
• natural language processing in support of evidence-based medicine a scoping revi | arXiv: 2505.22280
• navigating rifts in human-llm grounding study and benchmark | arXiv: 2503.13975
• negative matters multi-granularity hard-negative synthesis and anchor-token-awar
• negvqa can vision language models understand negation | arXiv: 2505.22946
• neko cross-modality post-recognition error correction with tasks-guided mixture- | arXiv: 2411.05945
• Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset | arXiv: 2412.02595
• neural incompatibility the unbridgeable gap of cross-scale parametric knowledge
• neural parameter search for slimmer fine-tuned models and better transfer | arXiv: 2505.18713
• neural topic modeling with large language models in the loop | arXiv: 2411.08534
• neuron empirical gradient discovering and quantifying neurons global linear cont | arXiv: 2412.18053
• neuron-level sequential editing for large language models | arXiv: 2410.04045
• NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering | arXiv: 2505.19754
• newsinterview a dataset and a playground to evaluate llms grounding gap via info | arXiv: 2411.13779
• NexusSum: Hierarchical LLM Agents for Long-Form Narrative Summarization | arXiv: 2505.24575
• ngqa a nutritional graph question answering benchmark for personalized health-aw
• no questions are stupid but some are poorly posed understanding poorly-posed inf
• noreval a norwegian language understanding and generation evaluation benchmark | arXiv: 2504.07749
• Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability | arXiv: 2408.08137
• not all terms matter recall-oriented adaptive learning for plm-aided query expan
• not quite sherlock holmes language model predictions do not reliably differentia | arXiv: 2506.06808
• Nudging: Inference-time Alignment of LLMs via Guided Decoding | arXiv: 2410.09300
• nusaaksara a multimodal and multilingual benchmark for preserving indonesian ind
• nvagent automated data visualization from natural language via collaborative age
• oasis order-augmented strategy for improved code search | arXiv: 2503.08161
• obfuslm privacy-preserving language model service against embedding inversion at
• Odysseus Navigates the Sirens' Song: Dynamic Focus Decoding for Factual and Diverse Open-Ended Text Generation | arXiv: 2503.08057
• olmotrace tracing language model outputs back to trillions of training tokens | arXiv: 2504.07096
• omgm orchestrate multiple granularities and modalities for efficient multimodal | arXiv: 2505.07879
• omnialign-v towards enhanced alignment of mllms with human preference | arXiv: 2502.18411
• omnicharacter towards immersive role-playing agents with seamless speech-languag
• omniflatten an end-to-end gpt model for seamless voice conversation | arXiv: 2410.17799
• on entity identification in language models | arXiv: 2506.02701
• on generalization across measurement systems llms entail more test-time compute | arXiv: 2506.02591
• on many-shot in-context learning for long-context evaluation | arXiv: 2411.07130
• on support samples of next word prediction | arXiv: 2506.04047
• on synthesizing data for context attribution in question answering | arXiv: 2504.05317
• on synthetic data strategies for domain-specific generative retrieval | arXiv: 2502.17957
• on the acquisition of shared grammatical representations in bilingual language m | arXiv: 2503.03962
• On the Limit of Language Models as Planning Formalizers | arXiv: 2412.09879
• on the mutual influence of gender and occupation in llm representations | arXiv: 2503.06792
• on the relation between fine-tuning topological properties and task performance
• On the Reliability of Large Language Models for Causal Discovery | arXiv: 2407.19638
• on the risk of evidence pollution for malicious social text detection in the era | arXiv: 2410.12600
• on the robust approximation of asr metrics | arXiv: 2502.12408
• on-policy self-alignment with fine-grained knowledge feedback for hallucination | arXiv: 2406.12221
• one for all update parameterized knowledge across multiple models with once edit | arXiv: 2506.00817
• one missing piece for open-source reasoning models a dataset to mitigate cold-st | arXiv: 2506.02338
• one quantllm for all fine-tuning quantized llms once for efficient deployments | arXiv: 2405.20202
• one size fits none rethinking fairness in medical ai | arXiv: 2506.14400
• onebench to test them all sample-level benchmarking over open-ended capabilities | arXiv: 2412.06745
• Online Iterative Self-Alignment for Radiology Report Generation | arXiv: 2505.11983
• Only a Little to the Left: A Theory-grounded Measure of Political Bias in LLMs | arXiv: 2503.16148
• ontology-guided reverse thinking makes large language models stronger on knowled
• open-set living need prediction with large language models | arXiv: 2506.02713
• open-world attribute mining for e-commerce products with multimodal self-correct
• open-world planning via lifted regression with llm-inferred affordances for embo
• opencoder the open cookbook for top-tier code large language models | arXiv: 2411.04905
• openwebvoyager building multimodal web agents via iterative real-world explorati
• opt-out investigating entity-level unlearning for large language models via opti | arXiv: 2406.12329
• Optimal Transport-Based Token Weighting for Enhanced Preference Optimization | arXiv: 2505.18720
• optimized text embedding models and benchmarks for amharic passage retrieval | arXiv: 2505.19356
• optimizing decomposition for optimal claim verification | arXiv: 2503.15354
• optimizing pre-training data mixtures with mixtures of data expert models | arXiv: 2502.15950
• optimizing question semantic space for dynamic retrieval-augmented multi-hop que
• os agents a survey on mllm-based agents for general computing devices use | arXiv: 2508.04482
• OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use
• OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis | arXiv: 2412.19723
• os-kairos adaptive interaction for mllm-powered gui agents | arXiv: 2503.16465
• outlier-safe pre-training for robust 4-bit quantization of large language models | arXiv: 2506.19697
• ozspeech one-step zero-shot speech synthesis with learned-prior-conditioned flow | arXiv: 2505.12800
• p2 law scaling law for post-training after model pruning
• p3 prompts promote prompting | arXiv: 2507.15675
• palm a culturally inclusive and linguistically diverse dataset for arabic llms | arXiv: 2503.00151
• Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models | arXiv: 2408.13533
• pap2pat benchmarking outline-guided long-text patent generation with patent-pape | arXiv: 2410.07009
• papersplease a benchmark for evaluating motivational values of large language mo | arXiv: 2506.21961
• parameter-aware contrastive knowledge editing tracing and rectifying based on cr
• parameter-efficient fine-tuning via circular convolution | arXiv: 2407.19342
• Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning | arXiv: 2410.10360
• parme parallel corpora for low-resourced middle eastern languages
• partial colexifications improve concept embeddings | arXiv: 2502.09743
• pasa an llm agent for comprehensive academic paper search | arXiv: 2501.10120
• past meets present creating historical analogy with large language models | arXiv: 2409.14820
• patch psychometrics-assisted benchmarking of large language models against human | arXiv: 2404.01799
• pattern recognition or medical knowledge the problem with multiple-choice questi | arXiv: 2406.02394
• pcot persuasion-augmented chain of thought for detecting fake news and social me | arXiv: 2506.06842
• PCoT: Persuasion-Augmented Chain of Thought for Detecting Fake News and Social Media Disinformation | arXiv: 2506.06842
• People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text | arXiv: 2501.15654
• performance gap in entity knowledge extraction across modalities in vision langu | arXiv: 2412.14133
• persistent homology of topic networks for the prediction of reader curiosity | arXiv: 2506.11095
• persona dynamics unveiling the impact of persona traits on agents in text-based | arXiv: 2504.06868
• personabench evaluating ai models on understanding personal information through | arXiv: 2502.20616
• personal travel solver a preference-driven llm-solver system for travel planning
• personalens a benchmark for personalization evaluation in conversational ai assi | arXiv: 2506.09902
• Personality-Guided Code Generation Using Large Language Models | arXiv: 2411.00006
• personalized generation in large model era a survey | arXiv: 2503.02614
• personalized text generation with contrastive activation steering | arXiv: 2503.05213
• perspective transition of large language models for solving subjective tasks | arXiv: 2501.09265
• persphere a comprehensive framework for multi-faceted perspective retrieval and | arXiv: 2412.12588
• phi-decoding adaptive foresight sampling for balanced inference-time exploration
• phonotomizer a compact unsupervised online training approach to real-time multil
• physreason a comprehensive benchmark towards physics-based reasoning | arXiv: 2502.12054
• pic unlocking long-form text generation capabilities of large language models vi
• PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative Prompts | arXiv: 2505.09921
• piguard prompt injection guardrail via mitigating overdefense for free
• piper benchmarking and prompting event reasoning boundary of llms via debiasing-
• pitfalls of scale investigating the inverse task of redefinition in large langua | arXiv: 2502.12821
• pixel-level reasoning segmentation via multi-turn conversations | arXiv: 2502.09447
• pkag-ddi pairwise knowledge-augmented language model for drug-drug interaction e
• pku-saferlhf towards multi-level safety alignment for llms with human preference | arXiv: 2406.15513
• PlanGenLLMs: A Modern Survey of LLM Planning Capabilities | arXiv: 2502.11221
• Planning with Diffusion Models for Target-Oriented Dialogue Systems | arXiv: 2504.16858
• planning-driven programming a large language model programming workflow | arXiv: 2411.14503
• planningarena a modular benchmark for multidimensional evaluation of planning an
• play2prompt zero-shot tool instruction optimization for llm agents via tool play | arXiv: 2503.14432
• Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models | arXiv: 2506.07424
• polynarrative a multilingual multilabel multi-domain dataset for narrative extra
• popalign diversifying contrasting patterns for a more comprehensive alignment | arXiv: 2410.13785
• position-aware automatic circuit discovery | arXiv: 2502.04577
• positional overload positional debiasing and context window extension for large
• powerformer efficient and high-accuracy privacy-preserving language model with h
• ppt a minor language news recommendation model via cross-lingual preference patt
• pqr improving dense retrieval via potential query modeling
• praetor a fine-grained generative llm evaluator with instance-level customizable
• Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges | arXiv: 2502.12378
• praise enhancing product descriptions with llm-driven structured insights | arXiv: 2506.17314
• pre-training curriculum for multi-token prediction in language models | arXiv: 2505.22757
• pre-training distillation for large language models a design space exploration | arXiv: 2410.16215
• predicate-conditional conformalized answer sets for knowledge graph embeddings | arXiv: 2505.16877
• Predicting Implicit Arguments in Procedural Video Instructions | arXiv: 2505.21068
• predicting through generation why generation is better for prediction | arXiv: 2502.17817
• predicting turn-taking and backchannel in human-machine conversations using ling | arXiv: 2505.12654
• prediction hubs are context-informed frequent tokens in llms | arXiv: 2502.10201
• prep-ocr a complete pipeline for document image restoration and enhanced ocr acc | arXiv: 2505.20429
• pretraining context compressor for large language models with embedding-based me
• preventing rogue agents improves multi-agent collaboration | arXiv: 2502.05986
• Pre³: Enabling Deterministic Pushdown Automata for Faster Structured LLM Generation | arXiv: 2506.03887
• Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries | arXiv: 2505.21859
• Principled Understanding of Generalization for Generative Transformer Models in Arithmetic Reasoning Tasks | arXiv: 2407.17963
• PRISM: A Framework for Producing Interpretable Political Bias Embeddings | arXiv: 2505.24646
• PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance | arXiv: 2502.17041
• privacyrestore privacy-preserving inference in large language models via privacy
• private memorization editing turning memorization into a defense to strengthen d | arXiv: 2506.10024
• prmbench a fine-grained and challenging benchmark for process-level reward model | arXiv: 2501.03124
• probabilistic aggregation and targeted embedding optimization for collective mor | arXiv: 2506.14625
• probability-consistent preference optimization for enhanced llm reasoning | arXiv: 2505.23540
• probing llms for multilingual discourse generalization through a unified label s | arXiv: 2503.10515
• probing relative interaction and dynamic calibration in multi-modal entity align
• probing subphonemes in morphology models | arXiv: 2505.11297
• probing the geometry of truth consistency and generalization of truth directions | arXiv: 2506.00823
• problem-solving logic guided curriculum in-context learning for llms complex rea | arXiv: 2502.15401
• proceedings of the 63rd annual meeting of the association for computational ling
• processbench identifying process errors in mathematical reasoning | arXiv: 2412.06559
• progco program helps self-correction of large language models | arXiv: 2501.01264
• program synthesis benchmark for visual programming in xlogoonline environment | arXiv: 2406.11334
• programming by example meets historical linguistics a large language model based
• progressive multimodal reasoning via active retrieval | arXiv: 2412.14835
• promalex progressive modular adapters for multi-jurisdictional legal language mo
• Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation | arXiv: 2506.03857
• prompt-based personality profiling reinforcement learning for relevance filterin | arXiv: 2409.04122
• prompt-guided internal states for hallucination detection of large language mode
• proper a progressive learning framework for personalized large language models w
• protolens advancing prototype learning for fine-grained interpretability in text
• provbench a benchmark of legal provision recommendation for contract auto-review
• ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering | arXiv: 2507.00828
• proxy-driven robust multimodal sentiment analysis with incomplete data
• psyadvisor a plug-and-play strategy advice planner with proactive questioning in
• psycholinguistic word features a new approach for the evaluation of llms alignme | arXiv: 2506.22439
• psydial a large-scale long-term conversational dataset for mental health support
• psydt using llms to construct the digital twin of psychological counselor with p
• PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models | arXiv: 2502.13179
• PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension | arXiv: 2412.11906
• PVP: An Image Dataset for Personalized Visual Persuasion with Persuasion Strategies, Viewer Characteristics, and Persuasiveness Ratings | arXiv: 2506.00481
• pwngpt automatic exploit generation based on large language models
• q2e query-to-event decomposition for zero-shot multilingual text-to-video retrie | arXiv: 2506.10202
• QAEncoder: Towards Aligned Representation Learning in Question Answering Systems | arXiv: 2409.20434
• qaeval mixture of evaluators for question-answering task evaluation
• qdtsynth quality-driven formal theorem synthesis for enhancing proving performan
• qg-sms enhancing test item analysis via student modeling and simulation | arXiv: 2503.05888
• qqsum a novel task and model of quantitative query-focused summarization for rev | arXiv: 2506.04020
• Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis | arXiv: 2505.14742
• qualispeech a speech quality assessment dataset with natural language reasoning | arXiv: 2503.20290
• quantification of large language model distillation | arXiv: 2501.12619
• quantifying lexical semantic shift via unbalanced optimal transport | arXiv: 2412.12569
• quantifying misattribution unfairness in authorship attribution | arXiv: 2506.02321
• quantifying semantic emergence in language models | arXiv: 2405.12617
• quantized can still be calibrated a unified framework to calibration in quantize
• quasar a question-driven structure-aware approach for table-to-text generation
• Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies | arXiv: 2505.06186
• queryattack jailbreaking aligned large language models using structured non-natu | arXiv: 2502.09723
• qwen25-xcoder multi-agent collaboration for multilingual code instruction tuning
• r-fairness assessing fairness of ranking in subjective data
• R-VC: Rhythm Controllable and Efficient Zero-Shot Voice Conversion via Shortcut Flow Matching | arXiv: 2506.01014
• r-vlm region-aware vision language model for precise gui grounding | arXiv: 2507.05673
• r2-multiomnia leading multilingual multimodal reasoning via self-training
• R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory | arXiv: 2501.12485
• RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection | arXiv: 2505.14318
• raemollm retrieval augmented llms for cross-domain misinformation detection usin | arXiv: 2406.11093
• rag-critic leveraging automated critic-guided agentic workflow for retrieval aug
• rageval scenario specific rag evaluation dataset generation framework | arXiv: 2408.01262
• rank chunk and expand lineage-oriented reasoning for taxonomy expansion | arXiv: 2505.13282
• rankcot refining knowledge for retrieval-augmented generation through ranking ch
• ranked voting based self-consistency of large language models | arXiv: 2505.10772
• ranking unraveled recipes for llm rankings in head-to-head ai combat | arXiv: 2411.14483
• RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models | arXiv: 2412.02830
• rate-nav region-aware termination enhancement for zero-shot object navigation wi | arXiv: 2506.02354
• rationales are not silver bullets measuring the impact of rationales on model pe | arXiv: 2505.24147
• rationalyst pre-training process-supervision for improving reasoning
• raven robust advertisement video violation temporal grounding via reinforcement | arXiv: 2510.16455
• Re-identification of De-identified Documents with Autoregressive Infilling | arXiv: 2505.12859
• Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms | arXiv: 2501.13977
• re-task revisiting llm tasks from capability skill and knowledge perspectives | arXiv: 2408.06904
• re3syn a dependency-based data synthesis framework for long-context post-trainin
• Read it in Two Steps: Translating Extremely Low-Resource Languages with Code-Augmented Grammar Books | arXiv: 2506.01796
• readoc a unified benchmark for realistic document structured extraction | arXiv: 2409.05137
• real-mm-rag a real-world multi-modal retrieval benchmark | arXiv: 2502.12342
• real-time factuality assessment from adversarial feedback | arXiv: 2410.14651
• realhitbench a comprehensive realistic hierarchical table benchmark for evaluati | arXiv: 2506.13405
• reason from future reverse thought chain enhances llm reasoning | arXiv: 2506.03673
• reasoning circuits in language models a mechanistic interpretation of syllogisti | arXiv: 2408.08590
• reasoning is all you need for video generalization a counterfactual benchmark wi | arXiv: 2503.10691
• recent advances in speech language models a survey | arXiv: 2410.03751
• reclm recommendation instruction tuning | arXiv: 2412.19302
• reconsidering llm uncertainty estimation methods in the wild | arXiv: 2506.01114
• Recurrent Knowledge Identification and Fusion for Language Model Continual Learning | arXiv: 2502.17510
• recursive question understanding for complex question answering over heterogeneo | arXiv: 2505.11900
• red queen safeguarding large language models against concealed multi-turn jailbr | arXiv: 2409.17458
• red-teaming llm multi-agent systems via communication attacks | arXiv: 2502.14847
• redactor an llm-powered framework for automatic clinical data de-identification | arXiv: 2505.18380
• redundancy isotropy and intrinsic dimensionality of prompt-based text embeddings | arXiv: 2506.01435
• redundancy principles for mllms benchmarks | arXiv: 2501.13953
• redundancylens revealing and exploiting visual token processing redundancy for e | arXiv: 2501.19036
• reefknot a comprehensive benchmark for relation hallucination evaluation analysi | arXiv: 2408.09429
• ref-long benchmarking the long-context referencing capability of long-context la | arXiv: 2507.09506
• refind at semeval-2025 task 3 retrieval-augmented factuality hallucination detec | arXiv: 2502.13622
• refining salience-aware sparse fine-tuning strategies for language models | arXiv: 2412.13488
• ReflectDiffu: Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework | arXiv: 2409.10289
• reflectioncoder learning from reflection sequence for enhanced one-off code gene | arXiv: 2405.17057
• ReflecTool: Towards Reflection-Aware Tool-Augmented Clinical Agents | arXiv: 2410.17657
• refreshkv updating small kv cache during long-form generation | arXiv: 2411.05787
• Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training | arXiv: 2407.09121
• registering source tokens to target language spaces in multilingual neural machi | arXiv: 2501.02979
• reinforced ir a self-boosting framework for domain-adapted information retrieval
• relationalcoder rethinking complex tables via programmatic relational transforma
• relearn unlearning via learning for large language models | arXiv: 2502.11190
• reliably bounding false positives a zero-shot machine-generated text detection f
• removal of hallucination on hallucination debate-augmented rag | arXiv: 2505.18581
• REP: Keys to Robust Edits — From Theoretical Insights to Practical Advances | arXiv: 2410.09338
• repanda pandas-powered tabular verification and reasoning | arXiv: 2503.11921
• Representation Bending for Large Language Model Safety | arXiv: 2504.01550
• representations of fact fiction and forecast in large language models epistemics | arXiv: 2506.01512
• repro-bench can agentic ai systems assess the reproducibility of social science | arXiv: 2507.18901
• reranking-based generation for unbiased perspective summarization | arXiv: 2506.15925
• ReSCORE: Label-free Iterative Retriever Training for Multi-hop Question Answering with Relevance-Consistency Supervision | arXiv: 2505.21250
• research borderlands analysing writing across research cultures | arXiv: 2506.00784
• response wide shut surprising observations in basic vision language model capabi | arXiv: 2507.10442
• rethinking evaluation metrics for grammatical error correction why use a differe | arXiv: 2502.09416
• rethinking kenlm good and bad model ensembles for efficient text quality filteri
• rethinking repetition problems of llms in code generation | arXiv: 2505.10402
• rethinking reward model evaluation through the lens of reward overoptimization | arXiv: 2505.12763
• rethinking semantic parsing for large language models enhancing llm performance | arXiv: 2409.14469
• rethinking table instruction tuning | arXiv: 2501.14693
• rethinking the role of prompting strategies in llm test-time scaling a perspecti | arXiv: 2505.10981
• retrieval models arent tool-savvy benchmarking tool retrieval for large language | arXiv: 2503.01763
• retrieval visual contrastive decoding to mitigate object hallucinations in large | arXiv: 2505.20569
• retrieval-augmented fine-tuning with preference optimization for visual program | arXiv: 2502.16529
• Retrieve to Explain: Evidence-driven Predictions for Explainable Drug Target Identification | arXiv: 2402.04068
• retrofitting large language models with dynamic tokenization | arXiv: 2411.18553
• retrollm empowering large language models to retrieve fine-grained evidence with | arXiv: 2412.11919
• retrospective learning from interactions | arXiv: 2410.13852
• revealing the deceptiveness of knowledge editing a mechanistic analysis of super | arXiv: 2505.12636
• Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up | arXiv: 2410.12323
• reverse preference optimization for complex instruction following | arXiv: 2505.22172
• revisit self-debugging with self-generated tests for code generation | arXiv: 2501.12793
• revisiting 3d llm benchmarks are we really testing 3d capabilities | arXiv: 2502.08503
• revisiting classical chinese event extraction with ancient literature informatio
• Revisiting Common Assumptions about Arabic Dialects in NLP | arXiv: 2505.21816
• Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability | arXiv: 2506.15629
• revisiting epistemic markers in confidence estimation can markers accurately ref
• revisiting llms as zero-shot time series forecasters small noise can break large | arXiv: 2506.00457
• revisiting lora through the lens of parameter redundancy spectral encoding helps | arXiv: 2506.16787
• revisiting scaling laws for language models the role of data quality and trainin
• revisiting self-consistency from dynamic distributional alignment perspective on | arXiv: 2502.19830
• revisiting the test-time scaling of o1-like models do they truly possess test-ti | arXiv: 2502.12215
• revisiting uncertainty quantification evaluation in language models spurious int | arXiv: 2504.13677
• Revisiting Weak-to-Strong Generalization: Reverse KL vs. Forward KL | arXiv: 2502.11107
• reviving cultural heritage a novel approach for comprehensive historical documen
• revs unlearning sensitive information in language models via rank editing in the | arXiv: 2406.09325
• Reward Generalization in RLHF: A Topological Perspective | arXiv: 2402.10184
• rewrite to jailbreak discover learnable and transferable implicit harmfulness in | arXiv: 2502.11084
• right answer wrong score uncovering the inconsistencies of llm evaluation in mul | arXiv: 2503.14996
• riot efficient prompt refinement with residual optimization tree | arXiv: 2506.16389
• rise reasoning enhancement via iterative self-exploration in multi-hop question | arXiv: 2505.21940
• RISE: Subtle Errors in Reasoning: Preference Learning via Error-injected Self-editing | arXiv: 2410.06638
• rmoa optimizing mixture-of-agents through diversity maximization and residual co | arXiv: 2505.24442
• robust and minimally invasive watermarking for eaas | arXiv: 2410.17552
• robust data watermarking in language models by injecting fictitious knowledge | arXiv: 2503.04036
• robust estimation of population-level effects in repeated-measures nlp experimen
• robust preference optimization via dynamic target margins | arXiv: 2506.03690
• robust utility-preserving text anonymization based on large language models | arXiv: 2407.11770
• rocoft efficient finetuning of large language models with row-column updates | arXiv: 2410.10075
• roleplot a systematic framework for evaluating and enhancing the plot-progressio
• Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp Context | arXiv: 2410.16069
• root defense strategies ensuring safety of llm at the decoding level
• rotor towards more reliable responses for order-invariant inputs | arXiv: 2502.08662
• rpo retrieval preference optimization for robust retrieval-augmented generation | arXiv: 2501.13726
• rsatexttwosuperior a rhetorical-strategy-aware rational speech act framework for | arXiv: 2506.09301
• RSCF: Relation-Semantics Consistent Filter for Entity Embedding of Knowledge Graph | arXiv: 2505.20813
• rsvp reasoning segmentation via visual prompting and multi-modal chain-of-though | arXiv: 2506.04277
• rubriks cube testing a new rubric for evaluating explanations on the cube datase | arXiv: 2503.23899
• ruby an effective framework for multi-constraint multi-hop question generation
• RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios | arXiv: 2412.08972
• s-rag a novel audit framework for detecting unauthorized use of personal data in
• s2r teaching llms to self-verify and self-correct via reinforcement learning
• s2wtm spherical sliced-wasserstein autoencoder for topic modeling | arXiv: 2507.12451
• s3 - semantic signal separation
• Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification | arXiv: 2506.04592
• safer or luckier llms as safety evaluators are not robust to artifacts | arXiv: 2503.09347
• saferag benchmarking security in retrieval-augmented generation of large languag | arXiv: 2501.18636
• saferoute adaptive model selection for efficient and accurate safety guardrails | arXiv: 2502.12464
• safety alignment via constrained knowledge unlearning | arXiv: 2505.18588
• safety is not only about refusal reasoning-enhanced fine-tuning for interpretabl | arXiv: 2503.05021
• sake steering activations for knowledge editing | arXiv: 2503.01751
• salience sparse fine tuning
• sam decoding speculative decoding via suffix automaton | arXiv: 2411.10666
• sample-efficient human evaluation of large language models via maximum discrepan | arXiv: 2404.08008
• Sandcastles in the Storm: Revisiting Watermarking Impossibility | arXiv: 2505.06827
• sanskriti a comprehensive benchmark for evaluating language models knowledge of | arXiv: 2506.15355
• sara salience-aware reinforced adaptive decoding for large language models in ab
• scalable vision language model training via high quality data curation | arXiv: 2501.05952
• scale towards collaborative content analysis in social science with large langua
• ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting | arXiv: 2406.19976
• ScaleQuest: Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch | arXiv: 2410.18693
• scaling context not parameters training a compact 7b language model for efficien | arXiv: 2505.08651
• scaling laws and efficient inference for ternary language models | arXiv: 2506.23025
• Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation | arXiv: 2502.14846
• scaling up the state size of rnn llms for long-context scenarios
• scanez integrating cognitive models with self-supervised learning for spatiotemp
• SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning | arXiv: 2406.10882
• scedit script-based assessment of knowledge editing | arXiv: 2505.23291
• scenegenagent precise industrial scene generation with coding agent | arXiv: 2410.21909
• sci-lora mixture of scientific loras for cross-domain lay paraphrasing | arXiv: 2505.18867
• sciver evaluating foundation models for multimodal scientific claim verification | arXiv: 2506.15569
• sconu selective conformal uncertainty in large language models | arXiv: 2504.14154
• scop evaluating the comprehension process of large language models from a cognit | arXiv: 2506.05000
• scope optimizing key-value cache compression in long-context generation | arXiv: 2412.13649
• sculpt systematic tuning of long prompts | arXiv: 2410.20788
• sdbench a survey-based domain-specific llm benchmarking and optimization framewo
• sdd self-degraded defense against malicious fine-tuning | arXiv: 2507.21182
• sdpo segment-level direct preference optimization for social agents | arXiv: 2501.01821
• SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings | arXiv: 2502.12562
• seakr self-aware knowledge retrieval for adaptive retrieval augmented generation | arXiv: 2406.19215
• seal scaling to emphasize attention for long-context retrieval | arXiv: 2501.15225
• second language arabic acquisition of llms via progressive vocabulary expansion | arXiv: 2412.12310
• secret semi-supervised clinical trial document similarity search | arXiv: 2505.10780
• SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization | arXiv: 2402.11347
• seedbench a multi-task benchmark for evaluating large language models in seed sc | arXiv: 2505.13220
• seeking rational demonstrations for large language models a domain generalizatio
• segment first or comprehend first explore the limit of unsupervised word segment
• segment-based attention masking for gpts | arXiv: 2412.18487
• Segment-Level Diffusion: A Framework for Controllable Long-Form Generation with Diffusion Language Models | arXiv: 2412.11333
• select read and write a multi-agent framework of full-text-based related work ge | arXiv: 2505.19647
• selecting and merging towards adaptable and scalable named entity recognition wi
• self-correction is more than refinement a learning framework for visual and lang | arXiv: 2410.04055
• self-critique guided iterative reasoning for multi-hop question answering | arXiv: 2505.19112
• self-error-instruct generalizing from errors for llms mathematical reasoning | arXiv: 2505.22591
• self-foveate enhancing diversity and difficulty of synthesized instructions from | arXiv: 2507.23440
• self-instructed derived prompt generation meets in-context learning unlocking ne | arXiv: 2409.01552
• SELF-PERCEPT: Introspection Improves LLMs' Detection of Multi-Person Mental Manipulation in Conversations | arXiv: 2505.20679
• self-supervised quantized representation for seamlessly integrating knowledge gr
• Self-Taught Agentic Long-Context Understanding | arXiv: 2502.15920
• self-training elicits concise reasoning in large language models | arXiv: 2502.20122
• self-tuning instructing llms to effectively acquire new knowledge through self-t | arXiv: 2406.06326
• SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence | arXiv: 2502.08767
• semantic aware linear transfer by recycling pre-trained language models for cros | arXiv: 2505.10945
• Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models | arXiv: 2501.05752
• semantic outlier removal with embedding models and llms | arXiv: 2506.16644
• semantic-eval a semantic comprehension evaluation framework for large language m
• semeval-2025 task 1 admire -- advancing multimodal idiomaticity representation | arXiv: 2503.15358
• sentiment reasoning for healthcare | arXiv: 2407.21054
• SEOE: A Scalable and Reliable Semantic Evaluation Framework for Open Domain Event Detection | arXiv: 2503.03303
• separating tongue from thought activation patching reveals language-agnostic con
• seqpo-simt sequential policy optimization for simultaneous machine translation | arXiv: 2505.20622
• serial lifelong editing via mixture of knowledge experts
• seuf is unlearning one expert enough for mixture-of-experts llms | arXiv: 2411.18797
• sgic a self-guided iterative calibration framework for rag | arXiv: 2506.16172
• shaping the safety boundaries understanding and defending against jailbreaks in
• share an slm-based hierarchical action correction assistant for text-to-sql | arXiv: 2506.00391
• share shared memory-aware open-domain long-term dialogue dataset constructed fro
• share text to sql correction
• Sharper and Faster mean Better: Towards More Efficient Vision-Language Model for Hour-scale Long Video Understanding
• sheeps skin wolfs deeds are llms ready for metaphorical implicit hate speech
• ShifCon: Enhancing Non-Dominant Language Capabilities with a Shift-based Multilingual Contrastive Framework | arXiv: 2410.19453
• Shifting from Ranking to Set Selection for Retrieval Augmented Generation | arXiv: 2507.06838
• should i believe in what medical ai says a chinese benchmark for medication base
• shubert self-supervised sign language representation learning via multi-stream c | arXiv: 2411.16765
• sift-50m a large-scale multilingual dataset for speech instruction fine-tuning | arXiv: 2504.09081
• sightation counts leveraging sighted user feedback in building a blv-aligned dat
• silencing empowerment allowing bigotry auditing the moderation of hate speech on | arXiv: 2506.07667
• simgrag leveraging similar subgraphs for knowledge graphs driven retrieval-augme | arXiv: 2412.15272
• simuls2s-llm unlocking simultaneous inference of speech llms for speech-to-speec
• sincon mitigate llm-generated malicious message injection attack for rumor detec
• singakids a multilingual multimodal dialogic tutor for language learning | arXiv: 2506.02412
• single- vs dual-prompt dialogue generation with llms for job interviews in human | arXiv: 2502.18650
• single-to-mix modality alignment with multimodal large language model for docume | arXiv: 2507.07572
• sinhala encoder-only language models and evaluation
• skillaggregation reference-free llm-dependent aggregation | arXiv: 2410.10215
• SkillVerse: Assessing and Enhancing LLMs with Tree Evaluation | arXiv: 2506.00319
• sklep a slovak general language understanding benchmark | arXiv: 2506.21508
• slamming training a speech language model on one gpu in a day | arXiv: 2502.15814
• sleepless nights sugary days creating synthetic users with health conditions for | arXiv: 2502.13135
• Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models | arXiv: 2412.14574
• small changes big impact how manipulating a few neurons can drastically alter ll
• smart self-aware agent for tool overuse mitigation | arXiv: 2502.11435
• smarter better faster longer a modern bidirectional encoder for fast memory effi | arXiv: 2412.13663
• socialcc interactive evaluation for cultural competence in language agents
• socialeval evaluating social intelligence of large language models | arXiv: 2506.00900
• SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs | arXiv: 2502.12134
• somethings fishy in the data lake a critical re-evaluation of table union search | arXiv: 2505.21329
• SongComposer: A Large Language Model for Lyric and Melody Generation in Song Composition | arXiv: 2402.17645
• sorft issue resolving with subtask-oriented reinforced fine-tuning | arXiv: 2502.20127
• sotopia-ensuremathomega dynamic strategy injection learning and social instructi | arXiv: 2502.15538
• soundwave less is more for speech-text alignment in llms | arXiv: 2502.12900
• spare enhancing spatial reasoning in vision-language models with synthetic data | arXiv: 2504.20648
• spark-tts an efficient llm-based text-to-speech model with single-stream decoupl | arXiv: 2503.01710
• sparse latents steer retrieval-augmented generation
• sparse logit sampling accelerating knowledge distillation in llms | arXiv: 2503.16870
• sparse rewards can self-train dialogue agents | arXiv: 2409.04617
• sparse-to-dense a free lunch for lossless acceleration of video understanding in | arXiv: 2505.19155
• Sparsify: Learning Sparsity for Effective and Efficient Music Performance Question Answering | arXiv: 2506.01319
• Speaking Beyond Language: A Large-Scale Multimodal Dataset for Learning Nonverbal Cues from Video-Grounded Dialogues | arXiv: 2506.00958
• spectra faster large language model inference with optimized internal and extern
• SpeechFake: A Large-Scale Multilingual Speech Deepfake Dataset Incorporating Cutting-Edge Generation Methods | arXiv: 2507.21463
• SpeechIQ: Speech-Agentic Intelligence Quotient Across Cognitive Levels in Voice Understanding by Large Language Models | arXiv: 2507.19361
• speechweave diverse multilingual synthetic text audio data generation pipeline f | arXiv: 2509.14270
• speed up your code progressive code acceleration through bidirectional tree edit
• SPHERE: Unveiling Spatial Blind Spots in Vision-Language Models Through Hierarchical Evaluation | arXiv: 2412.12693
• SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers | arXiv: 2507.06517
• splintering nonconcatenative languages for better tokenization | arXiv: 2503.14433
• spot bridging natural language and geospatial search for investigative journalis | arXiv: 2506.13188
• spotting out-of-character behavior atomic-level evaluation of persona fidelity i | arXiv: 2506.19352
• spurious correlations and beyond understanding and mitigating shortcut learning
• sql injection jailbreak a structural disaster of large language models | arXiv: 2411.01565
• sqlong enhanced nl2sql for longer contexts with llms | arXiv: 2502.16747
• squeezed attention accelerating long context length llm inference | arXiv: 2411.09688
• sr-llm rethinking the structured representation in large language model | arXiv: 2502.14352
• star-sql self-taught reasoner for text-to-sql | arXiv: 2502.13550
• state toxicn a benchmark for span-level target-aware toxicity extraction in chin | arXiv: 2501.15451
• State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models | arXiv: 2503.03499
• statement-tuning enables efficient cross-lingual generalization in encoder-only | arXiv: 2506.01592
• Statistical Deficiency for Task Inclusion Estimation | arXiv: 2503.05491
• stealing training data from large language models in decentralized training thro
• steering into new embedding spaces analyzing cross-lingual alignment induced by
• steering off course reliability challenges in steering language models | arXiv: 2504.04635
• stem-pom evaluating language models math-symbol reasoning in document parsing | arXiv: 2411.00387
• stepwise reasoning disruption attack of llms | arXiv: 2412.11934
• Stepwise Reasoning Disruption Attack of LLMs | arXiv: 2412.11934
• sticking to the mean detecting sticky tokens in text embedding models | arXiv: 2507.18171
• stitchllm serving llms one block at a time
• stochastic chameleons irrelevant context hallucinations reveal class-based misge | arXiv: 2505.22630
• stress-testing machine generated text detection shifting language models writing | arXiv: 2505.24523
• stricta structured reasoning in critical text assessment for peer review and bey | arXiv: 2409.05367
• STRICTA: Structured Reasoning in Critical Text Assessment for Peer Review and Beyond | arXiv: 2409.05367
• StrucText-Eval: Evaluating Large Language Model's Reasoning Ability in Structure-Rich Text | arXiv: 2406.10621
• structflowbench a structured flow benchmark for multi-turn instruction following | arXiv: 2502.14494
• structural reasoning improves molecular understanding of llm | arXiv: 2410.05610
• structure-aware domain knowledge injection for large language models | arXiv: 2407.16724
• STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning | arXiv: 2409.06211
• sublime subset selection via rank correlation prediction for data-efficient llm
• Substance over Style: Evaluating Proactive Conversational Coaching Agents | arXiv: 2503.19328
• subword models struggle with word learning but surprisal hides it | arXiv: 2502.12835
• sudo rm -rf agentic security | arXiv: 2503.20279
• SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment | arXiv: 2410.14676
• surveyforge on the outline heuristics memory-driven generation and multi-dimensi
• surveypilot an agentic framework for automated human opinion collection from soc
• swiltra-bench the swiss legal translation benchmark | arXiv: 2503.01372
• Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images | arXiv: 2502.13928
• synapticrag enhancing temporal memory retrieval in large language models through | arXiv: 2410.13553
• synergistic weak-strong collaboration by aligning preferences | arXiv: 2504.15188
• Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection | arXiv: 2506.00488
• synergizing unsupervised episode detection with llms for large-scale news events | arXiv: 2408.04873
• syngraph a dynamic graph-llm synthesis framework for sparse streaming user senti | arXiv: 2503.04619
• SynthesizeMe! Inducing Persona-Guided Prompts for Personalized Reward Models in LLMs | arXiv: 2506.05598
• synthesizing post-training data for llms through multi-agent simulation | arXiv: 2410.14251
• synthia novel concept design with affordance composition | arXiv: 2502.17793
• SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement | arXiv: 2504.03561
• systematic generalization in language models scales with information entropy | arXiv: 2505.13089
• t-reg preference optimization with token-level reward regularization | arXiv: 2412.02685
• T2A-Feedback: Improving Basic Capabilities of Text-to-Audio Generation via Fine-grained AI Feedback | arXiv: 2505.10561
• t2i-factualbench benchmarking the factuality of text-to-image models with knowle
• t5score a methodology for automatically assessing the quality of llm generated m | arXiv: 2407.17390
• table understanding and multimodal llms a cross-domain case study on scientific | arXiv: 2507.00152
• Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table Reasoning | arXiv: 2502.11799
• tabledreamer progressive and weakness-guided data synthesis from scratch for tab | arXiv: 2506.08646
• TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models | arXiv: 2503.04396
• tabxeval why this is a bad table an exhaustive rubric for table evaluation | arXiv: 2505.22176
• taclr a scalable and efficient retrieval-based method for industrial product att | arXiv: 2501.03835
• tada training-free recipe for decoding with adaptive kv cache compression and me | arXiv: 2506.04642
• tag-evol achieving efficient instruction evolving via tag injection | arXiv: 2505.24165
• tagrouter learning route to llms through tags for open-domain text generation ta | arXiv: 2506.12473
• takin-vc expressive zero-shot voice conversion via adaptive hybrid content encod
• taming language models for text-attributed graph learning with decoupled aggrega
• taming llms with gradient grouping
• targa targeted synthetic data generation for practical reasoning over structured | arXiv: 2412.19544
• targeted syntactic evaluation for grammatical error correction
• task-informed anti-curriculum by masking improves downstream performance on text | arXiv: 2502.12953
• task-specific information decomposition for end-to-end dense video captioning
• taxoadapt aligning llm-based multidimensional taxonomy construction to evolving | arXiv: 2506.10737
• taz2024full analysing german newspapers for gender bias and discrimination acros | arXiv: 2506.05388
• tc--rag turing--complete rags case study on medical llm systems
• tcsinger 2 customizable multilingual zero-shot singing voice synthesis | arXiv: 2505.14910
• teach a contrastive knowledge adaptive distillation framework for classical chin
• Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences | arXiv: 2506.00419
• teaching text agents to learn sequential decision making from failure
• Teaching Vision-Language Models to Ask: Resolving Ambiguity in Visual Questions | arXiv: 2507.13773
• team ack at semeval-2025 task 2 beyond word-for-word machine translation for eng | arXiv: 2504.20451
• team anotheroption at semeval-2025 task 8 bridging the gap between open-source a | arXiv: 2506.09657
• teamlora boosting low-rank adaptation with expert collaboration and competition | arXiv: 2408.09856
• tell dont show leveraging language models abstractive retellings to model litera | arXiv: 2505.23166
• tempest autonomous multi-turn jailbreaking of large language models with tree se | arXiv: 2503.10619
• temporal reasoning for timeline summarisation in social media | arXiv: 2501.00152
• temporal relation extraction in clinical texts a span-based graph transformer ap
• terdy temporal relation dynamics through frequency decomposition for temporal kn
• tess 2 a large-scale generalist diffusion language model | arXiv: 2502.13917
• testnuc enhancing test-time computing approaches and scaling through neighboring | arXiv: 2502.19163
• tetris optimal draft token selection for batch speculative decoding | arXiv: 2502.15197
• texpert a multi-level benchmark for evaluating latex code generation by llms | arXiv: 2506.16990
• text is all you need llm-enhanced incremental social event detection
• text-to-es bench a comprehensive benchmark for converting natural language to el
• textitl-citeeval a suite for evaluating fidelity of long-context models
• that doesnt sound right evaluating speech transcription quality in field linguis
• that is unacceptable the moral foundations of canceling
• the ai gap how socioeconomic status affects language technology interactions | arXiv: 2505.12158
• the alternative annotator test for llm-as-a-judge how to statistically justify r
• the anatomy of evidence an investigation into explainable icd coding | arXiv: 2507.01802
• the behavior gap evaluating zero-shot llm agents in complex task-oriented dialog | arXiv: 2506.12266
• the cross-linguistic role of animacy in grammar structures
• the distracting effect understanding irrelevant passages in rag | arXiv: 2505.06914
• the efficiency vs accuracy trade-off optimizing rag-enhanced llm recommender sys
• the esethu framework reimagining sustainable dataset governance and curation for | arXiv: 2502.15916
• the essence of contextual understanding in theory of mind a study on question an
• the harmonic structure of information contours | arXiv: 2506.03902
• the hidden attention of mamba models | arXiv: 2403.01590
• the hidden space of safety understanding preference-tuned llms in multilingual c | arXiv: 2504.02708
• The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It | arXiv: 2406.13181
• The Impact of Token Granularity on the Predictive Power of Language Model Surprisal | arXiv: 2412.11940
• The Impossibility of Fair LLMs | arXiv: 2406.03198
• the invisible hand unveiling provider bias in large language models for code gen
• the knowledge microscope features as better analytical lenses than neurons | arXiv: 2502.12483
• the lawyer that never thinks consistency and fairness as keys to reliable ai
• the male ceo and the female assistant evaluation and mitigation of gender biases
• the mirage of model editing revisiting evaluation in the wild | arXiv: 2502.11177
• the nature of nlp analyzing contributions in nlp papers | arXiv: 2409.19505
• the noisy path from source to citation measuring how scholars engage with past r | arXiv: 2502.20581
• the role of abstract representations and observed preferences in the ordering of
• the role of deductive and inductive reasoning in large language models | arXiv: 2410.02892
• the role of exploration modules in small language models for knowledge graph que | arXiv: 2509.07399
• the role of visual modality in multimodal mathematical reasoning challenges and | arXiv: 2503.04167
• the task shield enforcing task alignment to defend against indirect prompt injec
• the time scale of redundancy between prosody and linguistic context | arXiv: 2503.11630
• The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models | arXiv: 2410.16672
• the ud-newscrawl treebank reflections and challenges from a large-scale tagalog
• theme-explanation structure for table summarization using large language models | arXiv: 2501.10487
• theorem prover as a judge for synthetic data generation | arXiv: 2502.13137
• theorem-of-thought a multi-agent framework for abductive deductive and inductive | arXiv: 2506.07106
• TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding | arXiv: 2502.19400
• theoretical analysis of hierarchical language recognition and generation by tran
• theoretical guarantees for minimum bayes risk decoding | arXiv: 2502.12685
• Theory of Mind in Large Language Models: Assessment and Enhancement | arXiv: 2505.00026
• Think&Cite: Improving Attributed Text Generation with Self-Guided Tree Search and Progress Reward Modeling | arXiv: 2412.14860
• thinkguard deliberative slow thinking leads to cautious guardrails | arXiv: 2502.13458
• thor-moe hierarchical task-guided and context-responsive routing for neural mach | arXiv: 2505.14173
• tic-lm a web-scale benchmark for time-continual llm pretraining | arXiv: 2504.02107
• tigerllm - a family of bangla large language models | arXiv: 2503.10995
• time-mqa time series multi-task question answering with context enhancement | arXiv: 2503.01875
• TIP of the Iceberg: Task-in-Prompt Adversarial Attacks on LLMs | arXiv: 2501.18626
• to code or not to code adaptive tool integration for math language models via ex | arXiv: 2502.00691
• TokAlign: Efficient Vocabulary Adaptation via Token Alignment | arXiv: 2506.03523
• Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs | arXiv: 2412.11556
• token pruning in multimodal large language models are we solving the right probl | arXiv: 2502.11501
• tokenisation is np-complete | arXiv: 2412.15210
• tokenization is sensitive to language variation | arXiv: 2502.15343
• toolcoder a systematic code-empowered tool learning framework for large language | arXiv: 2502.11404
• ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models | arXiv: 2502.11404
• ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use | arXiv: 2501.02506
• ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use | arXiv: 2501.02506
• toolspectrum towards personalized tool utilization for large language models | arXiv: 2505.13176
• top-nsigma eliminating noise in logit space for robust token sampling of llm
• toward automatic discovery of a canine phonetic alphabet
• toward structured knowledge reasoning contrastive retrieval-augmented generation | arXiv: 2506.00842
• Towards a More Generalized Approach in Open Relation Extraction | arXiv: 2505.22801
• towards a principled evaluation of knowledge editors | arXiv: 2507.05937
• towards adaptive memory-based optimization for enhanced retrieval-augmented gene | arXiv: 2504.05312
• towards better chain-of-thought a reflection on effectiveness and faithfulness | arXiv: 2405.18915
• Towards Better Evaluation for Generated Patent Claims | arXiv: 2505.11095
• towards better open-ended text generation a multicriteria evaluation framework | arXiv: 2410.18653
• towards better value principles for large language model alignment a systematic
• towards building large scale datasets and state-of-the-art automatic speech tran
• towards comprehensive argument analysis in education dataset tasks and method | arXiv: 2505.12028
• towards context-robust llms a gated representation fine-tuning approach | arXiv: 2502.14100
• towards dynamic theory of mind evaluating llm adaptation to temporal evolution o | arXiv: 2505.17663
• towards effective and efficient continual pre-training of large language models | arXiv: 2407.18743
• towards effective extraction and evaluation of factual claims | arXiv: 2502.10855
• towards enhanced immersion and agency for llm-based interactive drama | arXiv: 2502.17878
• towards explainable temporal reasoning in large language models a structure-awar | arXiv: 2505.15245
• towards fairness assessment of dutch hate speech detection | arXiv: 2506.12502
• towards fully exploiting llm internal states to enhance knowledge boundary perce
• Towards Geo-Culturally Grounded LLM Generations | arXiv: 2502.13497
• towards global ai inclusivity a large-scale multilingual terminology dataset gis | arXiv: 2412.18367
• towards harmonized uncertainty estimation for large language models | arXiv: 2505.19073
• towards llm-powered attentive listener a pragmatic approach through quantity sel
• towards multi-dimensional evaluation of llm summarization across domains and lan
• towards objective fine-tuning how llms prior knowledge causes potential poor cal
• Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications | arXiv: 2501.02460
• towards reliable large audio language model | arXiv: 2505.19294
• Towards Reward Fairness in RLHF: From a Resource Allocation Perspective | arXiv: 2505.23349
• Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients | arXiv: 2410.22815
• Towards Robust ESG Analysis Against Greenwashing Risks: A3CG | arXiv: 2502.15821
• towards robust universal information extraction dataset evaluation and solution
• towards safety reasoning in llms ai-agentic deliberation for policy-embedded cot | arXiv: 2505.21784
• towards storage-efficient visual document retrieval an empirical study on reduci | arXiv: 2506.04997
• towards style alignment in cross-cultural translation | arXiv: 2507.00216
• towards text-image interleaved retrieval | arXiv: 2502.12799
• Towards the Law of Capacity Gap in Distilling Language Models | arXiv: 2311.07052
• tracing and dissecting how llms recall factual knowledge for real world question
• tracking lifes ups and downs mining life events from social media posts for ment
• TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning | arXiv: 2503.04381
• training dynamics underlying language model scaling laws loss deceleration and z | arXiv: 2506.05447
• training language model to critique for better refinement | arXiv: 2506.22157
• training turn-by-turn verifiers for dialogue tutoring agents the curious case of | arXiv: 2502.13311
• training-free llm merging for multi-task learning | arXiv: 2506.12379
• Trans-PEFT: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models | arXiv: 2506.06844
• trans-zero self-play incentivizes large language models for multilingual transla | arXiv: 2504.14669
• transbench breaking barriers for transferable graphical user interface agents in | arXiv: 2505.17629
• transferring textual preferences to vision-language understanding through model | arXiv: 2502.13487
• transforming podcast preview generation from expert models to llm-based systems | arXiv: 2505.23908
• translate with care addressing gender bias neutrality and reasoning in large lan | arXiv: 2506.00748
• translation and fusion improves cross-lingual information extraction | arXiv: 2305.13582
• trates trait-specific rubric-assisted cross-prompt essay scoring | arXiv: 2505.14577
• tree-kg an expandable knowledge graph construction framework for knowledge-inten
• tree-of-code a tree-structured exploring framework for end-to-end code generatio | arXiv: 2412.15305
• tree-of-debate multi-persona debate trees elicit critical thinking for scientifi | arXiv: 2502.14767
• Tree-of-Evolution: Tree-Structured Instruction Evolution for Code Generation in Large Language Models
• treecut a synthetic unanswerable math word problem dataset for llm hallucination | arXiv: 2502.13442
• TreeRL: LLM Reinforcement Learning with On-Policy Tree Search | arXiv: 2506.11902
• tremu towards neuro-symbolic temporal reasoning for llm-agents with memory in mu | arXiv: 2502.01630
• trident enhancing large language model safety with tri-dimensional diversified r
• TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs | arXiv: 2412.11242
• tripcraft a benchmark for spatio-temporally fine grained travel planning | arXiv: 2502.20508
• triplefact defending data contamination in the evaluation of llm-driven fake new
• triptailor a real-world benchmark for personalized travel planning | arXiv: 2508.01432
• TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification | arXiv: 2503.15289
• truth knows no language evaluating truthfulness beyond english | arXiv: 2502.09387
• tst a schema-based top-down and dynamic-aware agent of text-to-table tasks
• tumlu a unified and native language understanding benchmark for turkic languages | arXiv: 2502.11020
• Tuna: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos | arXiv: 2505.20124
• tunable llm-based proactive recommendation agent
• Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling | arXiv: 2504.15754
• twist text-encoder weight-editing for inserting secret trojans in text-to-image
• two intermediate translations are better than one fine-tuning llms for document-
• typed-rag type-aware decomposition of non-factoid questions for retrieval-augmen | arXiv: 2503.15879
• typology-guided adaptation in multilingual models
• ualign leveraging uncertainty estimations for factuality alignment on large lang | arXiv: 2412.11803
• uaqfact evaluating factual knowledge utilization of llms on unanswerable questio | arXiv: 2505.23461
• umedsum a unified framework for clinical abstractive summarization
• un-considering contextual information assessing llms understanding of indexical | arXiv: 2506.01089
• unanswerability evaluation for retrieval augmented generation | arXiv: 2412.12300
• uncertainty in causality a new frontier
• uncertainty propagation on llm agent
• uncertainty unveiled can exposure to more in-context examples mitigate uncertain | arXiv: 2505.21003
• uncertainty-aware iterative preference optimization for enhanced llm reasoning
• uncovering the impact of chain-of-thought reasoning for direct preference optimi
• Uncovering Visual-Semantic Psycholinguistic Properties from the Distributional Structure of Text Embedding Space | arXiv: 2505.23029
• understanding and meeting practitioner needs when measuring representational har | arXiv: 2506.04482
• understanding common ground misalignment in goal-oriented dialog a case-study wi | arXiv: 2503.12370
• understanding cross-domain adaptation in low-resource topic modeling | arXiv: 2506.07453
• Understanding Impact of Human Feedback via Influence Functions | arXiv: 2501.05790
• understanding in-context machine translation for low-resource languages a case s | arXiv: 2502.11862
• understanding large language model vulnerabilities to social bias attacks
• understanding silent data corruption in llm training | arXiv: 2502.12340
• understanding the dark side of llms intrinsic self-correction | arXiv: 2412.14959
• understanding the repeat curse in large language models from a feature perspecti | arXiv: 2504.14218
• uni-retrieval a multi-style retrieval framework for stems education | arXiv: 2502.05863
• unicodec unified audio codec with single domain-adaptive codebook | arXiv: 2502.20067
• UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations | arXiv: 2507.07030
• Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion Processes | arXiv: 2505.22165
• unifying language agent algorithms with graph-based orchestration engine for rep | arXiv: 2505.24354
• UniICL: An Efficient ICL Framework Unifying Compression, Selection, and Generation | arXiv: 2405.17062
• unilr unleashing the power of llms on multiple legal tasks with a unified legal
• unintended harms of value-aligned llms psychological and empirical insights | arXiv: 2506.06404
• UniQuanF: Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models | arXiv: 2506.03781
• unique hard attention a tale of two sides | arXiv: 2503.14615
• unirag unified query understanding method for retrieval augmented generation
• Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering | arXiv: 2503.11314
• unlocking recursive thinking of llms alignment via refinement | arXiv: 2506.06009
• unlocking speech instruction data potential with query rewriting | arXiv: 2507.08603
• unmasking style sensitivity a causal analysis of bias evaluation instability in
• Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging | arXiv: 2505.22934
• unraveling the mechanics of learning-based demonstration selection for in-contex
• unravelling the logic investigating the generalisation of transformers in numeri
• unseentimeqa time-sensitive question-answering beyond llms memorization | arXiv: 2407.03525
• Unsolvable Problem Detection: Evaluating Trustworthiness of Large Multimodal Models | arXiv: 2403.20331
• unsupervised morphological tree tokenizer | arXiv: 2406.15245
• untie the knots an efficient data augmentation strategy for long-context pre-tra
• unveil unified visual-textual integration and distillation for multi-modal docum
• unveiling and addressing pseudo forgetting in large language models | arXiv: 2411.11932
• unveiling attractor cycles in large language models a dynamical systems view of | arXiv: 2502.15208
• unveiling cultural blind spots analyzing the limitations of mllms in procedural | arXiv: 2502.14315
• unveiling dual quality in product reviews an nlp-based approach | arXiv: 2505.19254
• unveiling environmental impacts of large language model serving a functional uni
• Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders | arXiv: 2505.05111
• Unveiling Privacy Risks in LLM Agent Memory | arXiv: 2502.13172
• unveiling the key factors for distilling chain-of-thought reasoning | arXiv: 2502.18001
• unveiling the lack of lvlm robustness to fundamental visual variations why and p | arXiv: 2504.16727
• unveiling the potential of bert-family a new recipe for building scalable genera
• unveiling the power of source source-based minimum bayes risk decoding for neura | arXiv: 2406.11632
• uora uniform orthogonal reinitialization adaptation in parameter efficient fine-
• upcycling instruction tuning from dense to mixture-of-experts via parameter merg | arXiv: 2410.01610
• urbanvideo-bench benchmarking vision-language models on embodied intelligence wi
• usdc a dataset of underlineuser underlinestance and underlinedogmatism in long u | arXiv: 2406.16833
• user-side model consistency monitoring for open source large language models inf
• using information theory to characterize prosodic typology the case of tone pitc
• using shapley interactions to understand how models use structure | arXiv: 2403.13106
• using source-side confidence estimation for reliable translation into unfamiliar | arXiv: 2503.23305
• using subtext to enhance generative idrr
• utboost rigorous evaluation of coding agents on swe-bench | arXiv: 2506.09289
• v-oracle making progressive reasoning in deciphering oracle bones for you and me
• value portrait assessing language models values through psychometrically and eco | arXiv: 2505.01015
• value residual learning | arXiv: 2410.17897
• Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition | arXiv: 2411.11479
• vaquum are vague quantifiers grounded in visual data | arXiv: 2502.11874
• velocitune a velocity-based dynamic domain reweighting method for continual pre- | arXiv: 2411.14318
• Veracity Bias and Beyond: Uncovering LLMs' Hidden Beliefs in Problem-Solving Reasoning | arXiv: 2505.16128
• verbosity-aware rationale reduction effective reduction of redundant rationale v | arXiv: 2412.21006
• VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos | arXiv: 2505.23693
• vidcapbench a comprehensive benchmark of video captioning for controllable text- | arXiv: 2502.12782
• videovista-culturallingo 360textdegree horizons-bridging cultures languages and
• vigil3d a linguistically diverse dataset for 3d visual grounding | arXiv: 2501.01366
• visa retrieval augmented generation with visual source attribution | arXiv: 2412.14457
• vision-language models struggle to align entities across modalities | arXiv: 2503.03854
• visual cues enhance predictive turn-taking for two-party human interaction | arXiv: 2505.21043
• Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models
• visuothink empowering lvlm reasoning with multimodal tree search | arXiv: 2504.09130
• VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare | arXiv: 2502.13775
• vlm2-bench a closer look at how well vlms implicitly link explicit matching visu
• VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service | arXiv: 2506.15755
• vlsbench unveiling visual leakage in multimodal safety | arXiv: 2411.19939
• vmlu benchmarks a comprehensive benchmark toolkit for vietnamese llms
• voting or consensus decision-making in multi-agent debate | arXiv: 2502.19130
• voxeval benchmarking the knowledge understanding capabilities of end-to-end spok | arXiv: 2501.04962
• voxrag a step toward transcription-free rag systems in spoken question answering | arXiv: 2505.17326
• vqaguider guiding multimodal large language models to answer complex video quest
• VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism | arXiv: 2506.08691
• vulnerability of llms to vertically aligned text manipulations | arXiv: 2410.20016
• waffle fine-tuning multi-modal model for automated front-end development
• Wait, that's not an option: LLMs Robustness with Incorrect Multiple-Choice Options | arXiv: 2409.00113
• walk in others shoes with a single glance human-centric visual grounding with to
• wanda pruning large language models via regional gradients | arXiv: 2503.04992
• warmup generations a task-agnostic approach for guiding sequence-to-sequence lea
• warriorcoder learning from expert battles to augment code large language models | arXiv: 2412.17395
• watching the watchers exposing gender disparities in machine translation quality | arXiv: 2410.10995
• watermarking large language models an unbiased and low-risk method
• wavrag audio-integrated retrieval augmented generation for spoken dialogue model | arXiv: 2502.14727
• we-math does your large multimodal model achieve human-like mathematical reasoni
• weaving context across images improving vision-language models through focus-cen
• webwalker benchmarking llms in web traversal | arXiv: 2501.07572
• weed out then harvest dual low-rank adaptation is an effective noisy label detec | arXiv: 2510.10208
• well begun is half done low-resource preference alignment by weak-to-strong deco | arXiv: 2506.07434
• WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermark | arXiv: 2409.04459
• what are the essential factors in crafting effective long context multi-hop inst | arXiv: 2409.01893
• what do you call a dog that is incontrovertibly true dogma testing llm generaliz
• what happened in llms layers when trained for fast vs slow thinking a gradient p | arXiv: 2410.23743
• what is stigma attributed to a theory-grounded expert-annotated interview corpus | arXiv: 2505.12727
• What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations | arXiv: 2502.08279
• What Makes a Good Natural Language Prompt? | arXiv: 2506.06950
• what matters in evaluating book-length stories a systematic study of long story | arXiv: 2512.12839
• What Really Matters in Many-Shot Attacks? An Empirical Study of Long-Context Vulnerabilities in LLMs | arXiv: 2505.19773
• whats the difference supporting users in identifying the effects of prompt and m
• when backdoors speak understanding llm backdoor attacks through model-generated | arXiv: 2411.12701
• when claims evolve evaluating and enhancing the robustness of embedding models a | arXiv: 2503.03417
• when gpt spills the tea comprehensive assessment of knowledge file leakage in gp
• when harry meets superman the role of the interlocutor in persona-based dialogue | arXiv: 2505.24613
• when large language models meet speech a survey on integration approaches | arXiv: 2502.19548
• When People are Floods: Analyzing Dehumanizing Metaphors in Immigration Discourse with Large Language Models | arXiv: 2502.13246
• when should dense retrievers be updated in evolving corpora detecting out-of-dis | arXiv: 2506.01877
• when the lm misunderstood the human chuckled analyzing garden path effects in hu
• When to Speak, When to Abstain: Contrastive Decoding with Abstention | arXiv: 2412.12527
• where are we evaluating llm performance on african languages | arXiv: 2502.19582
• which demographics do llms default to during annotation | arXiv: 2410.08820
• Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above | arXiv: 2502.14127
• which retain set matters for llm unlearning a case study on entity unlearning | arXiv: 2502.11441
• whispa semantically and psychologically aligned whisper with self-supervised con | arXiv: 2501.16344
• white men lead black women help benchmarking and mitigating language agency soci
• who can withstand chat-audio attacks an evaluation benchmark for large audio-lan | arXiv: 2411.14842
• who taught you that tracing teachers in model distillation | arXiv: 2502.06659
• Who Writes What: Unveiling the Impact of Author Roles on AI-generated Text Detection | arXiv: 2502.12611
• Whose Boat Does it Float? Improving Personalization in Preference Optimization | arXiv: 2501.11549
• why are positional encodings nonessential for deep autoregressive transformers r | arXiv: 2501.00659
• why not act on what you know unleashing safety potential of llms via self-aware | arXiv: 2505.12060
• why prompt design matters and works a complexity analysis of prompt search space | arXiv: 2503.10084
• why safeguarded ships run aground aligned large language models safety mechanism | arXiv: 2502.13946
• wicked a simple method to make multiple choice benchmarks more challenging | arXiv: 2502.18316
• wikimixqa a multimodal benchmark for question answering over tables and charts | arXiv: 2506.15594
• winspot gui grounding benchmark with multimodal large language models
• wirelessmathbench a mathematical modeling benchmark for llms in wireless communi | arXiv: 2505.14354
• wizard of shopping target-oriented e-commerce dialogue generation with decision | arXiv: 2502.00969
• words of warmth trust and sociability norms for over 26k english words | arXiv: 2506.03993
• world modeling makes a better planner dual preference optimization for embodied | arXiv: 2503.10480
• Writing Like the Best: Exemplar-Based Expository Text Generation | arXiv: 2505.18859
• wximpactbench a disruptive weather impact understanding benchmark for evaluating | arXiv: 2505.20249
• X-Turing: Towards an Enhanced and Efficient Turing Test for Long-Term Dialogue Agents | arXiv: 2408.09853
• x-webagentbench a multilingual interactive web benchmark for evaluating global a | arXiv: 2505.15372
• xdac xai-driven detection and attribution of llm-generated news comments in kore
• yes my lord guiding language model extraction with locality reinforced distillat
• YESciEval: Robust LLM-as-a-Judge for Scientific Question Answering | arXiv: 2505.14279
• you need to mimic to get fame solving meeting transcript scarcity with a multi-a | arXiv: 2502.13001
• your model is overconfident and other lies we tell ourselves | arXiv: 2503.01235
• yulan-mini pushing the limits of open data-efficient language model
• zero-shot belief a hard problem for llms | arXiv: 2502.08777
• zero-shot conversational stance detection dataset and approaches | arXiv: 2506.17693
• zero-shot text-to-speech for vietnamese | arXiv: 2506.01322
• zipa a family of efficient models for multilingual phone recognition | arXiv: 2505.23170
• zjuklab at semeval-2025 task 4 unlearning via model merging | arXiv: 2503.21088
• 𝛿-stance a large-scale real world dataset of stances in legal argumentation
• crafting privacy-preserving adversarial examples a defense against membership inf
• an empirical study on detecting ai-generated text in financial reports
• cognitive framework for detecting ai-generated fiction
• haco-det-fine-grained-detection-under-human-ai-coauthoring | arXiv: 2506.02959
• mcp-zero-shot-mgt-detection-via-conformal-prediction | arXiv: 2505.05084
• atri-mitigating-multilingual-audio-text-retrieval-inconsistencies | arXiv: 2502.14627
• audio token consistency | arXiv: 2409.19283
• contextual biasing with the knowledgeable external language model for end-to-end
• coa-reasoning explorations on counterfactual analysis in physical reasoning of l
• counterfactual explanations for aspect-based sentiment analysis
• benchmarking long-context language models on long code understanding | arXiv: 2503.04359
• beyond sequences two-dimensional representation and dependency encoding for code
• coco-bench a comprehensive code benchmark for multi-task large language model ev | arXiv: 2504.20673
• codedpo code alignment | arXiv: 2410.05605
• codeif benchmarking the instruction-following capabilities of large language mod | arXiv: 2502.19166
• codereviewqa the code review comprehension assessment for large language models | arXiv: 2503.16167
• compileagent automated real-world repo-level compilation with tool-integrated ll | arXiv: 2505.04254
• coret improved retriever for code editing | arXiv: 2505.24715
• dars dynamic action re-sampling to enhance coding agent performance by adaptive | arXiv: 2503.14269
• dynacode a dynamic complexity-aware code benchmark for evaluating large language | arXiv: 2503.10452
• etf an entity tracing framework for hallucination detection in code summaries | arXiv: 2410.14748
• exploracoder advancing code generation for multiple unseen apis via planning and | arXiv: 2412.05366
• feabench repo code gen | arXiv: 2503.06680
• galla graph aligned large language models | arXiv: 2409.04183
• gift gibbs fine tuning code gen | arXiv: 2502.11466
• mldebugging towards benchmarking code debugging across multi-library scenarios | arXiv: 2506.13824
• oasis order-augmented strategy for improved code search | arXiv: 2503.08161
• personality guided code gen | arXiv: 2411.00006
• program synthesis benchmark for visual programming in xlogoonline environment | arXiv: 2406.11334
• reflectioncoder learning from reflection sequence for enhanced one-off code gene | arXiv: 2405.17057
• rethinking repetition problems of llms in code generation | arXiv: 2505.10402
• revisit self-debugging with self-generated tests for code generation
• scenegenagent precise industrial scene generation with coding agent | arXiv: 2410.21909
• texpert a multi-level benchmark for evaluating latex code generation by llms | arXiv: 2506.16990
• tree-of-code a tree-structured exploring framework for end-to-end code generatio | arXiv: 2412.15305
• tree of evolution code gen
• utboost rigorous evaluation of coding agents on swe-bench | arXiv: 2506.09289
• contradiction detection in rag-based chatbots
• dialogue systems for emotional support via value reinforcement | arXiv: 2501.17182
• enabling chatbots with eyes and ears an immersive multimodal conversation system | arXiv: 2506.00421
• enhancing goal-oriented proactive dialogue systems via consistency reflection an | arXiv: 2506.13366
• enstom enhancing dialogue systems with entropy-scaled steering vectors for topic | arXiv: 2505.16526
• know you first and be you better modeling human-like user simulators via implici | arXiv: 2502.18968
• know your mistakes towards preventing overreliance on task-oriented conversation | arXiv: 2501.10316
• kokorochat a japanese psychological counseling dialogue | arXiv: 2506.01357
• persona sentiment dialogue | arXiv: 2502.11423
• personalens a benchmark for personalization evaluation in conversational ai assi | arXiv: 2506.09902
• reflectdiffu empathetic response | arXiv: 2409.10289
• single- vs dual-prompt dialogue generation with llms for job interviews in human | arXiv: 2502.18650
• uniconv retrieval response gen | arXiv: 2507.07030
• when harry meets superman the role of the interlocutor in persona-based dialogue | arXiv: 2505.24613
• wizard of shopping target-oriented e-commerce dialogue generation with decision | arXiv: 2502.00969
• agent steerable search for knowledge graph question answering
• a reality check on context utilisation for retrieval-augmented generation | arXiv: 2412.17031
• a text is worth several tokens text embedding from llms secretly aligns well wit | arXiv: 2406.17378
• accelerating adaptive retrieval augmented generation via instruction-driven repr | arXiv: 2505.12731
• air-bench automated heterogeneous information retrieval benchmark | arXiv: 2412.13102
• any information is just worth one single screenshot unifying search with visuali | arXiv: 2502.11431
• are llms effective psychological assessors leveraging adaptive rag for interpret | arXiv: 2501.00982
• atomic llm a fine-grained information retrieval evaluation benchmark for languag
• automatic benchmark generation from scientific papers via retrieval-augmented ll
• beyond true or false retrieval-augmented hierarchical analysis of nuanced claims | arXiv: 2506.10728
• CART: A Generative Cross-Modal Retrieval Framework with Coarse-To-Fine Semantic Modeling | arXiv: 2406.17507
• coir a comprehensive benchmark for code information retrieval models | arXiv: 2407.02883
• collapse dense retrievers | arXiv: 2503.05037
• comrag retrieval-augmented generation with dynamic vector stores for real-time c | arXiv: 2506.21098
• core mmrag knowledge reconciliation | arXiv: 2506.02544
• cross-lingual relevance transfer for document retrieval
• divide then align rag knowledge boundary | arXiv: 2505.20871
• dont reinvent the wheel efficient instruction-following text embedding based on | arXiv: 2505.24754
• drag distilling rag slm | arXiv: 2506.01954
• drama diverse augmentation from large language models to smaller dense retriever | arXiv: 2502.18460
• empaths at semeval-2025 task 11 retrieval-augmented approach to perceived emotio | arXiv: 2506.04409
• enhancing lexicon-based text embeddings with large language models | arXiv: 2501.09749
• evaluation of attribution bias in generator-aware retrieval-augmented large lang | arXiv: 2410.12380
• exit context-aware extractive compression for enhancing retrieval-augmented gene | arXiv: 2412.12559
• faithfulrag fact level conflict | arXiv: 2506.08938
• flashbackefficient retrieval-augmented language modeling for long context infere | arXiv: 2405.04065
• flexrag a flexible and comprehensive framework for retrieval-augmented generatio | arXiv: 2506.12494
• from ambiguity to accuracy the transformative effect of coreference resolution o | arXiv: 2507.07847
• gainrag preference alignment | arXiv: 2505.18710
• garage a benchmark with grounding annotations for rag evaluation | arXiv: 2506.07671
• genie worksheets tod agent | arXiv: 2407.05674
• gor rag long context summary | arXiv: 2410.11001
• graf graph retrieval augmented by facts for romanian legal multi-choice question | arXiv: 2412.04119
• gumbel reranking | arXiv: 2502.11116
• health-llm personalized retrieval-augmented disease prediction system | arXiv: 2402.00746
• helios harmonizing early fusion late fusion and llm reasoning for multi-granular | arXiv: 2603.02248
• hierarchical document refinement for long-context retrieval-augmented generation | arXiv: 2505.10413
• hoh a dynamic benchmark for evaluating the impact of outdated information on ret | arXiv: 2503.04800
• hybgrag hybrid rag skb | arXiv: 2412.16311
• hypothetical documents or knowledge leakage rethinking llm-based query expansion | arXiv: 2504.14175
• investigating language preference of multilingual rag systems | arXiv: 2502.11175
• investigating the robustness of retrieval-augmented generation at the query leve | arXiv: 2507.06956
• knowshiftqa rag knowledge shifts | arXiv: 2412.08985
• ldir low-dimensional dense and interpretable text embeddings with relative repre | arXiv: 2505.10354
• llm psychological assessor | arXiv: 2501.00982
• llm reranking harmful content | arXiv: 2501.13977
• logical consistency is vital neural-symbolic information retrieval for negative- | arXiv: 2505.22299
• main-rag multi-agent filtering retrieval-augmented generation | arXiv: 2501.00332
• maximal matching matters preventing representation collapse for robust cross-mod | arXiv: 2506.21538
• memerag a multilingual end-to-end meta-evaluation benchmark for retrieval augmen | arXiv: 2502.17163
• mitigating lost-in-retrieval problems in retrieval augmented multi-hop question | arXiv: 2502.14245
• moc mixtures of text chunking learners for retrieval-augmented generation system | arXiv: 2503.09600
• mt-raig novel benchmark and evaluation framework for retrieval-augmented insight | arXiv: 2502.11735
• multilingual retrieval augmented generation for culturally-sensitive tasks a ben | arXiv: 2410.01171
• on synthetic data strategies for domain-specific generative retrieval | arXiv: 2502.17957
• optimized text embedding models and benchmarks for amharic passage retrieval | arXiv: 2505.19356
• pandora box rag noise | arXiv: 2408.13533
• parenting optimizing knowledge selection of retrievalaugmented | arXiv: 2410.10360
• prism political bias embeddings | arXiv: 2505.24646
• psycholinguistic visual semantic | arXiv: 2505.23029
• raemollm retrieval augmented llms for cross-domain misinformation detection usin | arXiv: 2406.11093
• rageval scenario specific rag evaluation dataset generation framework | arXiv: 2408.01262
• rare retrieval augmented reasoning | arXiv: 2412.02830
• redundancy isotropy and intrinsic dimensionality of prompt-based text embeddings | arXiv: 2506.01435
• refind at semeval-2025 task 3 retrieval-augmented factuality hallucination detec | arXiv: 2502.13622
• removal of hallucination on hallucination debate-augmented rag | arXiv: 2505.18581
• reranking-based generation for unbiased perspective summarization | arXiv: 2506.15925
• saferag benchmarking security in retrieval-augmented generation of large languag | arXiv: 2501.18636
• seakr self-aware knowledge retrieval for adaptive retrieval augmented generation | arXiv: 2406.19215
• seal scaling to emphasize attention for long-context retrieval | arXiv: 2501.15225
• semantic outlier removal with embedding models and llms | arXiv: 2506.16644
• setr set selection rag | arXiv: 2507.06838
• sgic a self-guided iterative calibration framework for rag | arXiv: 2506.16172
• sticking to the mean detecting sticky tokens in text embedding models | arXiv: 2507.18171
• the distracting effect understanding irrelevant passages in rag | arXiv: 2505.06914
• toward structured knowledge reasoning contrastive retrieval-augmented generation | arXiv: 2506.00842
• towards adaptive memory-based optimization for enhanced retrieval-augmented gene | arXiv: 2504.05312
• towards storage-efficient visual document retrieval an empirical study on reduci | arXiv: 2506.04997
• typed-rag type-aware decomposition of non-factoid questions for retrieval-augmen | arXiv: 2503.15879
• unanswerability evaluation for retrieval augmented generation | arXiv: 2412.12300
• unise-visualized-information-retrieval-with-screenshots | arXiv: 2502.11431
• visa retrieval augmented generation with visual source attribution | arXiv: 2412.14457
• voxrag a step toward transcription-free rag systems in spoken question answering | arXiv: 2505.17326
• when claims evolve evaluating and enhancing the robustness of embedding models a | arXiv: 2503.03417
• when should dense retrievers be updated in evolving corpora detecting out-of-dis | arXiv: 2506.01877
• a dual-perspective nlg meta-evaluation framework with automatic benchmark and be
• an empirical study of mechanistic interpretability approaches for factual recall
• around the world in 24 hours probing llm knowledge of time and place | arXiv: 2506.03984
• bias attribution in filipino language models extending a bias interpretability m | arXiv: 2506.07249
• cleme2 gec evaluation | arXiv: 2407.00934
• cracking factual knowledge a comprehensive analysis of degenerate knowledge neur | arXiv: 2402.13731
• degenerate knowledge neurons | arXiv: 2402.13731
• expert an explainable image captioning evaluation metric with structured explana | arXiv: 2506.24016
• irt router multi llm | arXiv: 2506.01048
• language agnostic concepts | arXiv: 2411.08745
• llama see llama do entrainment | arXiv: 2505.09338
• mechanistic interpretability of emotion inference in large language models | arXiv: 2502.05489
• normalized aopc faithfulness metrics | arXiv: 2408.08137
• output centric interpretability | arXiv: 2501.08319
• position-aware automatic circuit discovery | arXiv: 2502.04577
• probing subphonemes in morphology models | arXiv: 2505.11297
• probing the geometry of truth consistency and generalization of truth directions | arXiv: 2506.00823
• reasoning circuits in language models a mechanistic interpretation of syllogisti | arXiv: 2408.08590
• retrieve to explain drug target identification | arXiv: 2402.04068
• safety is not only about refusal reasoning-enhanced fine-tuning for interpretabl | arXiv: 2503.05021
• separating tongue from thought activation patching reveals language-agnostic con | arXiv: 2411.08745
• shortcut neuron eval | arXiv: 2506.04142
• the anatomy of evidence an investigation into explainable icd coding | arXiv: 2507.01802
• towards explainable temporal reasoning in large language models a structure-awar | arXiv: 2505.15245
• a general knowledge injection framework for icd coding | arXiv: 2505.18708
• adaptive detoxification safeguarding general capabilities of llms through toxici | arXiv: 2505.22298
• bmike-53 investigating cross-lingual knowledge editing with in-context learning | arXiv: 2406.17764
• chainedit propagating ripple effects in llm | arXiv: 2507.08427
• cknowedit chinese knowledge editing dataset llms | arXiv: 2409.05806
• compke complex question answering under knowledge editing | arXiv: 2506.00829
• context-robust knowledge editing for language models | arXiv: 2505.23026
• docmedit towards document-level model editing | arXiv: 2505.19572
• efficient knowledge editing | arXiv: 2506.04226
• megen generative backdoor into large language models via model editing | arXiv: 2408.10722
• memorizing is not enough deep knowledge injection through reasoning | arXiv: 2504.00472
• mitigating negative interference in multilingual sequential knowledge editing th | arXiv: 2506.10800
• neuron-level sequential editing for large language models | arXiv: 2410.04045
• revealing the deceptiveness of knowledge editing a mechanistic analysis of super | arXiv: 2505.12636
• sake steering activations for knowledge editing | arXiv: 2503.01751
• scedit script-based assessment of knowledge editing | arXiv: 2505.23291
• structure-aware domain knowledge injection for large language models | arXiv: 2407.16724
• the mirage of model editing revisiting evaluation in the wild | arXiv: 2502.11177
• towards a principled evaluation of knowledge editors | arXiv: 2507.05937
• agentic-reward-modeling-integrating-human-preferences-with-verifiable-correctness-signals | arXiv: 2502.19328
• an empirical study on llm-based agents for automated bug fixing | arXiv: 2411.10213
• bookworld from novels to interactive agent societies for story creation | arXiv: 2504.14538
• crowdcounter llm-agent-based scalable framework for web information gathering
• repro-bench can agentic ai systems assess the reproducibility of research claims
• aligning to what limits to rlhf based alignment | arXiv: 2503.09025
• constitutional classifiers defending against universal jailbreaks across thousan | arXiv: 2501.18837
• intuitive fine tuning simplifying alignment into single process | arXiv: 2405.11870
• accelerating speculative decoding via efficient context-aware draft generation
• consistency-preserving contrastive decoding for faithful document-grounded dial
• coprus consistency preserving utterance synthesis towards more realistic benchma
• fuel-unveiling-environmental-impacts-of-llm-serving | arXiv: 2502.11256
• fuel unveiling environmental impacts of llm serving | arXiv: 2502.11256
• a conformal risk control framework for granular word assessment and uncertainty | arXiv: 2504.01225
• a mismatched benchmark for scientific natural language inference | arXiv: 2506.04603
• abgen evaluating large language models in | arXiv: 2507.13300
• access denied inc the first benchmark environment for sensitivity awareness | arXiv: 2506.00964
• ad-hoc concept forming in the game codenames as a means for evaluating large lan | arXiv: 2502.11707
• ad-llm benchmarking large language models for anomaly detection | arXiv: 2412.11142
• androidlab autonomous agent | arXiv: 2410.24024
• antileakbench preventing data contamination by automatically constructing benchm | arXiv: 2412.13670
• atomic calibration of llms in long-form generations | arXiv: 2410.13246
• batayan a filipino nlp benchmark for evaluating large language models | arXiv: 2502.14911
• belarusian glue
• benchmarking llms and llm-based agents in practical vulnerability detection for | arXiv: 2503.03586
• benchmarking uncertainty quantification methods for large language models with l | arXiv: 2406.15627
• besstie a benchmark for sentiment and sarcasm classification for varieties of en | arXiv: 2412.04726
• beyond one-size-fits-all tailored benchmarks for efficient evaluation | arXiv: 2502.13576
• browsing lost unformed recollections a benchmark for tip-of-the-tongue search an | arXiv: 2503.19193
• calibraeval calibrating prediction distribution to mitigate selection bias in ll | arXiv: 2410.15393
• calibration confidence text gen | arXiv: 2506.00637
• can external validation tools improve annotation quality for llm-as-a-judge | arXiv: 2507.17015
• cfbench a comprehensive constraints-following benchmark for llms | arXiv: 2408.01122
• chatbench from static benchmarks to human-ai evaluation | arXiv: 2504.07114
• codemenv benchmarking large language models on code migration | arXiv: 2506.00894
• com2 causal commonsense | arXiv: 2506.07064
• cov-eval-code-security-evaluation-benchmark | arXiv: 2505.10494
• cov eval evaluating llms from code security perspective | arXiv: 2505.10494
• culemo cultural lenses on emotion - benchmarking llms for cross-cultural emotion | arXiv: 2503.10688
• culturalbench a robust diverse and challenging cultural benchmark by human-ai cu | arXiv: 2410.02677
• ecomscriptbench | arXiv: 2505.15196
• editinspector a benchmark for evaluation of text-guided image edits | arXiv: 2506.09988
• educationq evaluating llms teaching capabilities through multi-agent dialogue fr | arXiv: 2504.14928
• elaboration competitive programming | arXiv: 2505.16667
• evowiki evaluating llms on evolving knowledge | arXiv: 2412.13582
• exposing numeracy gaps a benchmark to evaluate fundamental numerical abilities i | arXiv: 2502.11075
• financereasoning benchmarking financial numerical reasoning more | arXiv: 2506.05828
• from tools to teammates evaluating llms in multi-session coding interactions | arXiv: 2502.13791
• grace a granular benchmark for evaluating model calibration against human calibr | arXiv: 2502.19684
• guessarena guess who i am a | arXiv: 2505.22661
• hallulens llm hallucination benchmark | arXiv: 2504.17550
• hellaswag-pro a large-scale bilingual benchmark for evaluating the robustness of | arXiv: 2502.11393
• help write story feedback | arXiv: 2507.16007
• homebench evaluating llms in smart homes with valid and invalid instructions acr | arXiv: 2505.19628
• how far are llms from being our digital twins a benchmark for persona-based beha | arXiv: 2502.14642
• hpss heuristic prompting strategy search for llm evaluators | arXiv: 2502.13031
• influences on llm calibration a study of response agreement loss functions and p | arXiv: 2501.03991
• justrank llm judge system ranking | arXiv: 2412.09569
• kitab-bench a comprehensive multi-domain benchmark for arabic ocr and document u | arXiv: 2502.14949
• kristeva close reading as a novel task for benchmarking interpretive reasoning | arXiv: 2505.09825
• la leaderboard spanish | arXiv: 2507.00999
• language complexity measurement as a noisy zero-shot proxy for evaluating llm pe | arXiv: 2502.11578
• language model probabilities are not calibrated in numeric contexts | arXiv: 2410.16007
• mars benchmarking the metaphysical reasoning abilities of language models with a | arXiv: 2406.02106
• mcbe a multi-task chinese bias evaluation benchmark for large language models | arXiv: 2507.02088
• mdbench a synthetic multi-document reasoning benchmark generated with knowledge | arXiv: 2506.14927
• mis-prompt benchmarking large language models for proactive error handling | arXiv: 2506.00064
• mmlu-cf a contamination-free multi-task language understanding benchmark | arXiv: 2412.15194
• movie101v2 improved movie narration benchmark | arXiv: 2404.13370
• navigating rifts in human-llm grounding study and benchmark | arXiv: 2503.13975
• noreval a norwegian language understanding and generation evaluation benchmark | arXiv: 2504.07749
• onebench to test them all sample-level benchmarking over open-ended capabilities | arXiv: 2412.06745
• pap2pat benchmarking outline-guided long-text patent generation with patent-pape | arXiv: 2410.07009
• papersplease a benchmark for evaluating motivational values of large language mo | arXiv: 2506.21961
• patch psychometrics-assisted benchmarking of large language models against human | arXiv: 2404.01799
• physreason a comprehensive benchmark towards physics-based reasoning | arXiv: 2502.12054
• readoc a unified benchmark for realistic document structured extraction | arXiv: 2409.05137
• realhitbench a comprehensive realistic hierarchical table benchmark for evaluati | arXiv: 2506.13405
• retrieval models arent tool-savvy benchmarking tool retrieval for large language | arXiv: 2503.01763
• revisiting 3d llm benchmarks are we really testing 3d capabilities | arXiv: 2502.08503
• right answer wrong score uncovering the inconsistencies of llm evaluation in mul | arXiv: 2503.14996
• rulearena rule guided reasoning | arXiv: 2412.08972
• sanskriti a comprehensive benchmark for evaluating language models knowledge of | arXiv: 2506.15355
• seedbench a multi-task benchmark for evaluating large language models in seed sc | arXiv: 2505.13220
• sklep a slovak general language understanding benchmark | arXiv: 2506.21508
• somethings fishy in the data lake a critical re-evaluation of table union search | arXiv: 2505.21329
• structext eval | arXiv: 2406.10621
• structflowbench a structured flow benchmark for multi-turn instruction following | arXiv: 2502.14494
• swiltra-bench the swiss legal translation benchmark | arXiv: 2503.01372
• tic-lm a web-scale benchmark for time-continual llm pretraining | arXiv: 2504.02107
• towards dynamic theory of mind evaluating llm adaptation to temporal evolution o | arXiv: 2505.17663
• towards objective fine-tuning how llms prior knowledge causes potential poor cal | arXiv: 2505.20903
• tripcraft a benchmark for spatio-temporally fine grained travel planning | arXiv: 2502.20508
• triptailor a real-world benchmark for personalized travel planning | arXiv: 2508.01432
• tumlu a unified and native language understanding benchmark for turkic languages | arXiv: 2502.11020
• vital pluralistic alignment healthcare | arXiv: 2502.13775
• voxeval benchmarking the knowledge understanding capabilities of end-to-end spok | arXiv: 2501.04962
• webwalker benchmarking llms in web traversal | arXiv: 2501.07572
• where are we evaluating llm performance on african languages | arXiv: 2502.19582
• wicked a simple method to make multiple choice benchmarks more challenging | arXiv: 2502.18316
• wximpactbench a disruptive weather impact understanding benchmark for evaluating | arXiv: 2505.20249
• yescieval llm judge science | arXiv: 2505.14279
• agentdropout-dynamic-agent-elimination-for-multi-agent-collaboration | arXiv: 2503.18891
• ai as a novel ethical agent exploring moral judgments by large language models
• an empirical study of large language models for automated review generation
• analyzing the rapid generalization of sft via the perspective of attention head | arXiv: 2409.15820
• argument mining in the age of large language models
• arm alignment retrieval | arXiv: 2501.18539
• assessing and enhancing the causal reasoning abilities of language models via fai
• assessing the vulnerability of llms to cognitive biases in scientific research
• autoexp automatic experiment design and execution by llms
• beyond dialogue roleplay | arXiv: 2408.10903
• bfs-prover-scalable-best-first-tree-search-for-llm-based-automatic-theorem-proving | arXiv: 2502.03438
• can llms interpret leverage amrs | arXiv: 2504.04745
• catching shortcuts a framework for evaluating shortcuts in large language models
• cheaper and better diffusion language model via task-specific training
• clue guided re-assessment to improve reasoning in large language models
• collaborative performance prediction for large language models | arXiv: 2407.01300
• comparing large language models in extracting subjective information from politi
• comparing linguistic acceptability judgments of autoregressive language models
• concreteness versus abstractness a selectivity analysis in llms
• cross-modal alignment for llm-enhanced spoken language understanding
• epistemic-markers-in-confidence-estimation | arXiv: 2505.24778
• limitgen-llms-identify-research-limitations | arXiv: 2507.02694
• llm mapreduce simplified long sequence processing | arXiv: 2410.09342
• llms-comprehend-temporal-meaning-in-narratives | arXiv: 2507.14307
• neuronxa-cross-lingual-alignment-via-neurons | arXiv: 2507.14900
• rethinking-sorting-in-llm-pairwise-ranking | arXiv: 2505.24643
• rhio retrieval heads faithfulness | arXiv: 2501.13573
• seed stepwise reasoning disruption attack | arXiv: 2412.11934
• sft attention activation | arXiv: 2409.15820
• toolcoder code empowered tool learning | arXiv: 2502.11404
• activation-inversion-attack-stealing-training-data-in-decentralized-training | arXiv: 2502.16086
• adversarial tokenization | arXiv: 2503.02174
• asynclm efficient and adaptive async pre-training of language models
• autonomous data selection with zero-shot generative classifiers for mathematical | arXiv: 2402.07625
• between circuits chomsky | arXiv: 2502.19249
• chinese grammatical error correction with pre-trained models and linguistic clue
• critiq mining data quality criteria from human preferences | arXiv: 2502.19279
• data-constrained synthesis of training data for de-identification | arXiv: 2502.14677
• data caricatures on the representation of african american language in pretraini | arXiv: 2503.10789
• data whisperer data selection | arXiv: 2505.12212
• davir data selection via implicit reward for large language models | arXiv: 2310.13008
• diversity explains inference scaling laws through a case study of minimum bayes | arXiv: 2410.15021
• dual stage curriculum learning sequence labeling | arXiv: 2402.13534
• emergent abilities continued pt | arXiv: 2506.00288
• fr spec speculative sampling | arXiv: 2502.14856
• how do llms acquire new knowledge a knowledge circuits perspective on continual | arXiv: 2502.11196
• improving continual pre-training through seamless data packing | arXiv: 2505.22018
• inconsistent tokenizations cause language models to be perplexed by japanese gra | arXiv: 2505.19599
• incorporating domain knowledge into materials tokenization | arXiv: 2506.11115
• inserter speech instruction | arXiv: 2503.02769
• large vocabulary size improves large language models | arXiv: 2406.16508
• leancode understanding models better for code simplification of pre-trained larg | arXiv: 2505.14759
• making llms better many-to-many speech-to-text translators with curriculum learn | arXiv: 2409.19510
• metarater a multidimensional data selection method | arXiv: 2504.14194
• model performance-guided evaluation data selection for effective prompt optimiza | arXiv: 2505.10736
• nemotron cc pretraining data | arXiv: 2412.02595
• optimizing pre-training data mixtures with mixtures of data expert models | arXiv: 2502.15950
• pre-training curriculum for multi-token prediction in language models | arXiv: 2505.22757
• retrofitting large language models with dynamic tokenization | arXiv: 2411.18553
• scar style consistency data selection | arXiv: 2406.10882
• second language arabic acquisition of llms via progressive vocabulary expansion | arXiv: 2412.12310
• splintering nonconcatenative languages for better tokenization | arXiv: 2503.14433
• stealing training data from large language models in decentralized training thro | arXiv: 2502.16086
• synthesizing post-training data for llms through multi-agent simulation | arXiv: 2410.14251
• tokalign vocab adaptation | arXiv: 2506.03523
• tokenization is sensitive to language variation | arXiv: 2502.15343
• towards effective and efficient continual pre-training of large language models | arXiv: 2407.18743
• training dynamics underlying language model scaling laws loss deceleration and z | arXiv: 2506.05447
• unsupervised morphological tree tokenizer | arXiv: 2406.15245
• velocitune a velocity-based dynamic domain reweighting method for continual pre- | arXiv: 2411.14318
• beyond the answer advancing multi-hop qa with fine-grained graph reasoning and e
• commonsense abductive reasoning using knowledge from multiple sources
• complex reasoning with natural language contexts and background knowledge
• epicprm-efficient-precise-training-data-for-process-reward-model | arXiv: 2503.02382
• agrail a lifelong agent guardrail with effective and adaptive safety detection | arXiv: 2502.11448
• aligning large language models to follow instructions and hallucinate less via e | arXiv: 2502.07340
• alleviating hallucinations from knowledge misalignment in large language models
• answer when needed forget when not language models pretend to forget via in-cont | arXiv: 2410.00382
• are the hidden states hiding something testing the limits of factuality-encoding | arXiv: 2505.16520
• arghitz at archehr-qa 2025 a two-step divide and conquer approach to patient que | arXiv: 2506.12886
• automated explanation generation and hallucination detection for heritage image
• chinese simpleqa a chinese factuality evaluation for large language models | arXiv: 2411.07140
• cliperase efficient unlearning of visual-textual associations in clip | arXiv: 2410.23330
• comparisonqa evaluating factuality robustness of llms through knowledge frequenc | arXiv: 2412.20251
• core robust factual precision with informative sub-claim identification
• defense prompt injection | arXiv: 2411.00459
• exploring forgetting in large language model pre-training | arXiv: 2410.17018
• factual knowledge in language models robustness and anomalies under simple tempo | arXiv: 2502.01220
• faithful and robust llm-driven theorem proving for nli explanations | arXiv: 2505.24264
• from misleading queries to accurate answers a three-stage fine-tuning method for | arXiv: 2504.11277
• hallucination detox send | arXiv: 2410.15460
• halogen hallucinations
• hd-ndes neural differential equations for hallucination detection in llms | arXiv: 2506.00088
• hidden-states-factuality-encoding-limits | arXiv: 2505.16520
• how does response length affect long-form factuality | arXiv: 2505.23295
• improving factuality with explicit working memory | arXiv: 2412.18069
• improving model factuality with fine-grained critique-based evaluator | arXiv: 2410.18359
• indirect prompt injection detection | arXiv: 2502.16580
• intent hallucination eval | arXiv: 2506.06539
• language models can subtly deceive without lying a case study on strategic phras | arXiv: 2405.04325
• learning auxiliary tasks improves reference-free hallucination detection in open | arXiv: 2505.12265
• localizing and mitigating errors in long-form question answering | arXiv: 2407.11930
• mamba knockout for unraveling factual information flow | arXiv: 2505.24244
• monitoring decoding mitigating hallucination via evaluating the factuality of pa | arXiv: 2503.03106
• odysseus dynamic focus decoding | arXiv: 2503.08057
• on-policy self-alignment with fine-grained knowledge feedback for hallucination | arXiv: 2406.12221
• opt-out investigating entity-level unlearning for large language models via opti | arXiv: 2406.12329
• rate-ft-auxiliary-tasks-for-hallucination-detection | arXiv: 2505.12265
• real-time factuality assessment from adversarial feedback | arXiv: 2410.14651
• relearn unlearning via learning for large language models | arXiv: 2502.11190
• revs unlearning sensitive information in language models via rank editing in the | arXiv: 2406.09325
• saferoute adaptive model selection for efficient and accurate safety guardrails | arXiv: 2502.12464
• seuf is unlearning one expert enough for mixture-of-experts llms | arXiv: 2411.18797
• stochastic chameleons irrelevant context hallucinations reveal class-based misge | arXiv: 2505.22630
• towards context-robust llms a gated representation fine-tuning approach | arXiv: 2502.14100
• towards effective extraction and evaluation of factual claims | arXiv: 2502.10855
• treecut a synthetic unanswerable math word problem dataset for llm hallucination | arXiv: 2502.13442
• truth knows no language evaluating truthfulness beyond english | arXiv: 2502.09387
• ualign leveraging uncertainty estimations for factuality alignment on large lang | arXiv: 2412.11803
• uaqfact evaluating factual knowledge utilization of llms on unanswerable questio | arXiv: 2505.23461
• unveiling and addressing pseudo forgetting in large language models | arXiv: 2411.11932
• which retain set matters for llm unlearning a case study on entity unlearning | arXiv: 2502.11441
• zjuklab at semeval-2025 task 4 unlearning via model merging | arXiv: 2503.21088
• align-pro align protein representations through multi-modal learning
• concept bottleneck language models for protein design
• medbiorag semantic search and retrieval-augmented generation for biomedical lite
• cfsp an efficient structured pruning framework for llms with coarse-to-fine acti
• compact and compressible representations for llms using structured sparse decom
• compression in transformer language models has a surprising relationship with pe
• a case study of cross-lingual zero-shot generalization for classical languages i | arXiv: 2505.13173
• accessible machine translation evaluation for low-resource languages
• alleviating distribution shift in synthetic data for machine translation quality | arXiv: 2502.19941
• an expanded massive multilingual dataset for high-performance language technolog | arXiv: 2503.10267
• are rules meant to be broken understanding multilingual moral reasoning as a com | arXiv: 2502.14083
• askqe question answering as automatic evaluation for machine translation | arXiv: 2504.11582
• assessing agentic large language models in multilingual national bias | arXiv: 2502.17945
• beyond n-grams rethinking evaluation metrics and strategies for multilingual abs | arXiv: 2507.08342
• blessing of multilinguality a systematic analysis of multilingual in-context lea | arXiv: 2502.11364
• bridging the language gaps in large language models with inference-time cross-li | arXiv: 2410.12462
• cc-tuning a cross-lingual connection mechanism for improving joint multilingual | arXiv: 2506.00875
• cchall a novel benchmark for joint cross-lingual and cross-modal hallucinations | arXiv: 2505.19108
• clix cross-lingual explanations of idiomatic expressions | arXiv: 2501.03191
• code-switching curriculum learning for multilingual transfer in llms | arXiv: 2411.02460
• code-switching red-teaming llm evaluation for safety and multilingual understand | arXiv: 2406.15481
• comparative analysis of multilingual hate speech detection
• context augmented token-level post-editing for human interpreting
• cosmmic commentsensitive multimodal multilingual indian corpus | arXiv: 2506.15372
• cross-lingual auto evaluation for assessing multilingual llms | arXiv: 2410.13394
• cross-lingual optimization for language transfer in large language models | arXiv: 2505.14297
• cross-lingual representation alignment through contrastive image-caption tuning | arXiv: 2505.13628
• cross-lingual transfer of cultural knowledge an asymmetric phenomenon | arXiv: 2506.01675
• cross-lingual transfer of debiasing and detoxification in multilingual llms an e | arXiv: 2412.14050
• cross lingual neurons compression | arXiv: 2506.01629
• crosslingual pitfalls | arXiv: 2505.18673
• cruxeval-x a benchmark for multilingual code reasoning understanding and executi | arXiv: 2408.13001
• culfit a fine-grained cultural-aware llm training paradigm via multilingual crit | arXiv: 2505.19484
• dictionaries to the rescue cross-lingual vocabulary transfer for low-resource la | arXiv: 2506.01535
• disentangle language culture | arXiv: 2505.24635
• edit once update everywhere a simple framework for cross-lingual knowledge synch | arXiv: 2502.14645
• execute a multilingual benchmark for llm token understanding | arXiv: 2505.17784
• exploring in-context example generation for machine translation | arXiv: 2506.00507
• exploring in-image machine translation with real-world background | arXiv: 2505.15282
• flare crosslingual lora | arXiv: 2501.06892
• grammamt improving machine translation with grammar-informed in-context learning | arXiv: 2410.18702
• group then scale dynamic mixture-of-experts multilingual language model | arXiv: 2506.12388
• hierarchical news clustering | arXiv: 2506.00277
• implicit cross-lingual rewarding for efficient multilingual preference alignment | arXiv: 2503.04647
• improving mllms document image machine translation via synchronously self-review | arXiv: 2507.08309
• just go parallel improving the multilingual capabilities of large language model | arXiv: 2506.13044
• knowcoder-x boosting multilingual information extraction via code | arXiv: 2411.04794
• laca crosslingual absa | arXiv: 2508.09515
• langmark a multilingual dataset for automatic post-editing | arXiv: 2511.17153
• langsamp multilingual pretraining | arXiv: 2409.18199
• lemonade a large multilingual expert-annotated abstractive event dataset for the | arXiv: 2506.00980
• less but better efficient multilingual expansion | arXiv: 2505.22582
• lexgen domain-aware multilingual lexicon generation | arXiv: 2405.11200
• llms can achieve high-quality simultaneous machine translation as efficiently as | arXiv: 2504.09570
• lost in multilinguality dissecting cross-lingual factual inconsistency in transf | arXiv: 2504.04264
• low resource translation | arXiv: 2506.01796
• m-mad multidimensional multi-agent debate for advanced machine translation evalu | arXiv: 2412.20127
• m2rc-eval massively multilingual repository-level code completion evaluation | arXiv: 2410.21157
• m3finmeeting a multilingual multi-sector and multi-task financial meeting unders | arXiv: 2506.02510
• m rewardbench | arXiv: 2410.15522
• machine translation models are zero-shot detectors of translation direction | arXiv: 2401.06769
• marco bench multilingual if | arXiv: 2507.11882
• maxife multilingual and cross-lingual instruction following evaluation | arXiv: 2506.01776
• memorization inheritance seqkd | arXiv: 2502.01491
• mid layer crosslingual alignment | arXiv: 2502.14830
• milic-eval benchmarking multilingual llms for chinas minority languages | arXiv: 2503.01150
• modular sentence encoders | arXiv: 2407.14878
• moscar a large-scale multilingual and multimodal document-level corpus | arXiv: 2406.08707
• msqad multilingual ethical bias | arXiv: 2505.19121
• mt eval human parity | arXiv: 2506.19571
• mtvqa benchmarking multilingual text-centric visual question answering | arXiv: 2405.11985
• multi-perspective alignment for increasing naturalness in neural machine transla | arXiv: 2412.08473
• multilingual encoder knows more than you realize shared weights pretraining for | arXiv: 2502.10852
• multilingual llm english accent | arXiv: 2410.15956
• multilingual speech data quality | arXiv: 2506.17525
• nametag 3 a tool and a service for multilingualmultitagset ner | arXiv: 2506.05949
• probing llms for multilingual discourse generalization through a unified label s | arXiv: 2503.10515
• registering source tokens to target language spaces in multilingual neural machi | arXiv: 2501.02979
• semantic aware linear transfer by recycling pre-trained language models for cros | arXiv: 2505.10945
• seqpo-simt sequential policy optimization for simultaneous machine translation | arXiv: 2505.20622
• shifcon nondominant language | arXiv: 2410.19453
• sift-50m a large-scale multilingual dataset for speech instruction fine-tuning | arXiv: 2504.09081
• statement-tuning enables efficient cross-lingual generalization in encoder-only | arXiv: 2506.01592
• team ack at semeval-2025 task 2 beyond word-for-word machine translation for eng | arXiv: 2504.20451
• the esethu framework reimagining sustainable dataset governance and curation for | arXiv: 2502.15916
• the hidden space of safety understanding preference-tuned llms in multilingual c | arXiv: 2504.02708
• thor-moe hierarchical task-guided and context-responsive routing for neural mach | arXiv: 2505.14173
• towards global ai inclusivity a large-scale multilingual terminology dataset gis | arXiv: 2412.18367
• trans-zero self-play incentivizes large language models for multilingual transla | arXiv: 2504.14669
• translation and fusion improves cross-lingual information extraction | arXiv: 2305.13582
• translation robustness | arXiv: 2403.03923
• understanding in-context machine translation for low-resource languages a case s | arXiv: 2502.11862
• unveiling the power of source source-based minimum bayes risk decoding for neura | arXiv: 2406.11632
• watching the watchers exposing gender disparities in machine translation quality | arXiv: 2410.10995
• x-webagentbench a multilingual interactive web benchmark for evaluating global a | arXiv: 2505.15372
• zipa a family of efficient models for multilingual phone recognition | arXiv: 2505.23170
• answering complex geographic questions by adaptive reasoning with visual context
• chart-based reasoning transferring capabilities from llms to vlms | arXiv: 2403.12596
• cordial-multimodal-llm-coherence-relationships | arXiv: 2502.11300
• mmboundary reasoning step confidence | arXiv: 2505.23224
• visc-focus-centric-visual-chains-for-multi-image-reasoning | arXiv: 2504.20199
• vlm2-bench-visual-cue-linking | arXiv: 2502.12084
• wemath knowledge reasoning | arXiv: 2407.01284
• abstractive snippet generation
• an empirical study of iterative refinements for non-autoregressive translation
• controlling politeness in multi-turn dialogues through pre-phrase augmentation
• active llms for multi-hop question answering
• attribution methods in nlp navigating a fragmented landscape
• bilingual zero-shot stance detection
• brighter bridging the gap in human-annotated textual emotion recognition dataset
• conversational quality assessment a large-scale corpus and comprehensive study
• deja vu decoding repeated reading from eye movements | arXiv: 2502.11061
• meaning-beyond-truth-conditions-anaphora-accessibility | arXiv: 2502.14119
• variational approach mitigating entity bias relation extraction | arXiv: 2506.11381
• achieving certification-by-design through model-driven development
• adaptive feature-based low rank plus sparse decomposition for subspace clusterin
• cooperating and competing through natural language
• sightation-blv-aligned-diagram-descriptions | arXiv: 2503.13369
• a survey on proactive defense strategies against misinformation in large languag | arXiv: 2507.05288
• banstereoset a dataset to measure stereotypical social biases in llms for bangla | arXiv: 2409.11638
• beyond negative stereotypes -- non-negative abusive utterances about identity gr
• biasguard a reasoning-enhanced bias detection tool for large language models | arXiv: 2504.21299
• can community notes replace professional fact-checkers | arXiv: 2502.14132
• conspiracy theories and where to find them on tiktok | arXiv: 2407.12545
• culture matters in toxic language detection in persian | arXiv: 2506.03458
• detection of human and machine-authored fake news in urdu | arXiv: 2410.19517
• explicit vs implicit investigating social bias in large language models through | arXiv: 2501.02295
• exploring gender bias in large language models an in-depth dive into the german | arXiv: 2507.16557
• exploring multimodal challenges in toxic chinese detection taxonomy benchmark an | arXiv: 2505.24341
• exploring the impact of instruction-tuning on llms susceptibility to misinformat | arXiv: 2507.18203
• fairsteer inference time debiasing for llms with dynamic activation steering | arXiv: 2504.14492
• gg-bbq german gender bias benchmark for question answering | arXiv: 2507.16410
• hateday global hate speech | arXiv: 2411.15462
• how does misinformation affect large language | arXiv: 2505.21608
• implihatevid video hate | arXiv: 2508.06570
• is llm an overconfident judge unveiling the capabilities of llms in detecting of | arXiv: 2502.06207
• kda automated data generation pipeline for detoxifying implicitly offensive lang | arXiv: 2506.13513
• llm label propagation | arXiv: 2506.00488
• llm personalized disinformation | arXiv: 2412.13666
• mdit-bench evaluating the dual-implicit toxicity in large multimodal models | arXiv: 2505.17144
• measuring social biases in masked language models by proxy of prediction quality | arXiv: 2402.13954
• silencing empowerment allowing bigotry auditing the moderation of hate speech on | arXiv: 2506.07667
• state toxicn a benchmark for span-level target-aware toxicity extraction in chin | arXiv: 2501.15451
• taz2024full analysing german newspapers for gender bias and discrimination acros | arXiv: 2506.05388
• translate with care addressing gender bias neutrality and reasoning in large lan | arXiv: 2506.00748
• context aware sentiment forecasting agents | arXiv: 2505.24331
• q2e query-to-event decomposition for zero-shot multilingual text-to-video retrie | arXiv: 2506.10202
• vidcapbench a comprehensive benchmark of video captioning for controllable text- | arXiv: 2502.12782
• a thousand words paint a picture multimodal goal tracking for grounded social in
• attention-seeker dynamic self-attention scoring for unsupervised key-frame extra
• bold selection bias | arXiv: 2410.14248