EMNLP 2024 Accepted Papers
The full list of 2,379 papers accepted at EMNLP 2024 (Conference on Empirical Methods in Natural Language Processing). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.
Main: 1,234finding: 976Industry: 119System Demonstrations: 50
- SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Modelsfinding3 citations
- SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agentfinding3 citations
- SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved InformationMain3 citations
- Sanitizing Large Language Models in Bug Detection with Data-Flowfinding3 citations
- SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinementfinding3 citations
- SedarEval: Automated Evaluation using Self-Adaptive Rubricsfinding3 citations
- Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?Main3 citations
- Self-AMPLIFY: Improving Small Language Models with Self Post Hoc ExplanationsMain3 citations
- Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question AnsweringMain3 citations
- Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languagesfinding3 citations
- Self-Refine Instruction-Tuning for Aligning Reasoning in Language ModelsMain3 citations
- Self-Training Large Language and Vision Assistant for Medical Question AnsweringMain3 citations
- Semformer: Transformer Language Models with Semantic PlanningMain3 citations
- Semi-Supervised Reward Modeling via Iterative Self-Trainingfinding3 citations
- Speechworthy Instruction-tuned Language ModelsMain3 citations
- Standardize: Aligning Language Models with Expert-Defined Standards for Content GenerationMain3 citations
- Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledgefinding3 citations
- Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health DiagnosisMain3 citations
- StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children’s Story-Based LearningMain3 citations
- Strategic Demonstration Selection for Improved Fairness in LLM In-Context LearningMain3 citations
- Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learningfinding3 citations
- Surprise! Uniform Information Density Isn’t the Whole Story: Predicting Surprisal Contours in Long-form DiscourseMain3 citations
- Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented GenerationMain3 citations
- Systematic Evaluation of Long-Context LLMs on Financial ConceptsIndustry3 citations
- Taxonomy-guided Semantic Indexing for Academic Paper SearchMain3 citations
- Teaching Small Language Models Reasoning through Counterfactual DistillationMain3 citations
- Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting SummarizationIndustry3 citations
- Text Fluoroscopy: Detecting LLM-Generated Text through Intrinsic FeaturesMain3 citations
- The Generation Gap: Exploring Age Bias in the Value Systems of Large Language ModelsMain3 citations
- The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text ClassificationMain3 citations
- Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model PromptingMain3 citations
- Thoughts to Target: Enhance Planning for Target-driven ConversationMain3 citations
- To Err Is Human, but Llamas Can Learn It Toofinding3 citations
- Token Erasure as a Footprint of Implicit Vocabulary Items in LLMsMain3 citations
- Tools Fail: Detecting Silent Errors in Faulty ToolsMain3 citations
- Towards Robust Evaluation of Unlearning in LLMs via Data Transformationsfinding3 citations
- Towards a Similarity-adjusted Surprisal TheoryMain3 citations
- ToxiCraft: A Novel Framework for Synthetic Generation of Harmful Informationfinding3 citations
- TransAgents: Build Your Translation Company with Language AgentsSystem Demonstrations3 citations
- TruthReader: Towards Trustworthy Document Assistant Chatbot with Reliable AttributionSystem Demonstrations3 citations
- ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented LearningSystem Demonstrations3 citations
- UniSumEval: Towards Unified, Fine-grained, Multi-dimensional Summarization Evaluation for LLMsfinding3 citations
- Unveiling Factual Recall Behaviors of Large Language Models through Knowledge NeuronsMain3 citations
- Unveiling In-Context Learning: A Coordinate System to Understand Its Working MechanismMain3 citations
- Unveiling Multi-level and Multi-modal Semantic Representations in the Human Brain using Large Language ModelsMain3 citations
- VGA: Vision GUI Assistant - Minimizing Hallucinations through Image-Centric Fine-Tuningfinding3 citations
- VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosisfinding3 citations
- ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactionsfinding3 citations
- VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP ModelsMain3 citations
- What do Large Language Models Need for Machine Translation Evaluation?Main3 citations
- What is “Typological Diversity” in NLP?Main3 citations
- When Reasoning Meets Information Aggregation: A Case Study with Sports NarrativesMain3 citations
- Where Am I From? Identifying Origin of LLM-generated ContentMain3 citations
- Where is the signal in tokenization space?Main3 citations
- Which questions should I answer? Salience Prediction of Inquisitive QuestionsMain3 citations
- Whiteboard-of-Thought: Thinking Step-by-Step Across ModalitiesMain3 citations
- Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language ModelsMain3 citations
- Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource LanguagesMain3 citations
- Zero-Shot Detection of LLM-Generated Text using Token CohesivenessMain3 citations
- Zero-Shot Fact Verification via Natural Logic and Large Language Modelsfinding3 citations
- “Any Other Thoughts, Hedgehog?” Linking Deliberation Chains in Collaborative Dialoguesfinding3 citations
- “Global is Good, Local is Bad?”: Understanding Brand Bias in LLMsMain3 citations
- “Knowing When You Don’t Know”: A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generationfinding3 citations
- ”I Never Said That”: A dataset, taxonomy and baselines on response clarity classificationfinding3 citations
- ***YesBut***: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language ModelsMain2 citations
- A Multi-Perspective Analysis of Memorization in Large Language ModelsMain2 citations
- A Semantic Search Engine for Mathlib4finding2 citations
- A Simple Angle-based Approach for Contrastive Learning of Unsupervised Sentence Representationfinding2 citations
- A Survey of AMR ApplicationsMain2 citations
- A linguistically-motivated evaluation methodology for unraveling model’s abilities in reading comprehension tasksMain2 citations
- AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Modelsfinding2 citations
- ALIGN-SIM: A Task-Free Test Bed for Evaluating and Interpreting Sentence Embeddings through Semantic Similarity Alignmentfinding2 citations
- ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI FeedbackMain2 citations
- ARTS: Assessing Readability & Text Simplicityfinding2 citations
- Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximizationfinding2 citations
- AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative LearningMain2 citations
- Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generationfinding2 citations
- Aligners: Decoupling LLMs and Alignmentfinding2 citations
- An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal ModelsMain2 citations
- An Empirical Study of Multilingual Reasoning Distillation for Question AnsweringMain2 citations
- An Evaluation Mechanism of LLM-based Agents on Manipulating APIsfinding2 citations
- An LLM Feature-based Framework for Dialogue Constructiveness AssessmentMain2 citations
- Analyzing Context Contributions in LLM-based Machine Translationfinding2 citations
- Analyzing Key Factors Influencing Emotion Prediction Performance of VLLMs in Conversational ContextsMain2 citations
- AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generationfinding2 citations
- Automated Essay Scoring: A Reflection on the State of the ArtMain2 citations
- Automatically Generated Definitions and their utility for Modeling Word MeaningMain2 citations
- Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple RewardsMain2 citations
- Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddingsfinding2 citations
- BLASER 2.0: a metric for evaluation and quality estimation of massively multilingual speech and text translationfinding2 citations
- BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer TrainingMain2 citations
- Beyond Correlation: Interpretable Evaluation of Machine Translation MetricsMain2 citations
- Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context LearningMain2 citations
- C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance AuditsMain2 citations
- CERT-ED: Certifiably Robust Text Classification for Edit Distancefinding2 citations
- CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective SparsificationMain2 citations
- CHIRON: Rich Character Representations in Long-Form Narrativesfinding2 citations
- CItruS: Chunked Instruction-aware State Eviction for Long Sequence ModelingMain2 citations
- CMD: a framework for Context-aware Model self-DetoxificationMain2 citations
- CURE: Context- and Uncertainty-Aware Mental Disorder DetectionMain2 citations
- Can LLMs Understand the Implication of Emphasized Sentences in Dialogue?finding2 citations
- Can Large Language Models Understand DL-Lite Ontologies? An Empirical Studyfinding2 citations
- CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative StructuresMain2 citations
- Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extractionfinding2 citations
- Characterizing Text Datasets with Psycholinguistic Featuresfinding2 citations
- CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical ScenariosMain2 citations
- Closing the Loop: Learning to Generate Writing Feedback via Language Model Simulated Student RevisionsMain2 citations
- Cluster-Norm for Unsupervised Probing of KnowledgeMain2 citations
- CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularityfinding2 citations
- Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous CodeMain2 citations
- Commentator: A Code-mixed Multilingual Text Annotation FrameworkSystem Demonstrations2 citations
- CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data PartitionsMain2 citations
- Commonsense Knowledge Editing Based on Free-Text in LLMsMain2 citations
- Concept Space Alignment in Multilingual LLMsMain2 citations
- Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language ModelsMain2 citations
- ControlMath: Controllable Data Generation Promotes Math Generalist ModelsMain2 citations
- Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Frameworkfinding2 citations
- Cross-Lingual Multi-Hop Knowledge Editingfinding2 citations
- DA3: A Distribution-Aware Adversarial Attack against Language ModelsMain2 citations
- DAdEE: Unsupervised Domain Adaptation in Early Exit PLMsfinding2 citations
- DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language ModelsIndustry2 citations
- DVD: Dynamic Contrastive Decoding for Knowledge Amplification in Multi-Document Question AnsweringMain2 citations
- Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational NotebooksSystem Demonstrations2 citations
- Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language ModelsMain2 citations
- Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuningfinding2 citations
- DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?finding2 citations
- Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual ErrorsMain2 citations
- Detecting LLM-Assisted Cheating on Open-Ended Writing Tasks on Language Proficiency TestsIndustry2 citations
- Detecting Online Community Practices with Large Language Models: A Case Study of Pro-Ukrainian Publics on TwitterMain2 citations
- Detecting Temporal Ambiguity in Questionsfinding2 citations
- DetectiveNN: Imitating Human Emotional Reasoning with a Recall-Detect-Predict Framework for Emotion Recognition in Conversationsfinding2 citations
- Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Modelsfinding2 citations
- Development of Cognitive Intelligence in Pre-trained Language ModelsMain2 citations
- Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQAfinding2 citations
- Do LLMs learn a true syntactic universal?Main2 citations
- Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRAMain2 citations
- DocEdit-v2: Document Structure Editing Via Multimodal LLM GroundingMain2 citations
- Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognitionfinding2 citations
- Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarityfinding2 citations
- E2CL: Exploration-based Error Correction Learning for Embodied Agentsfinding2 citations
- EDEN: Empathetic Dialogues for English Learningfinding2 citations
- ESC-Eval: Evaluating Emotion Support Conversations in Large Language ModelsMain2 citations
- EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion ControlMain2 citations
- Emotion Granularity from Text: An Aggregate-Level Indicator of Mental HealthMain2 citations
- Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science ResearchMain2 citations
- Evaluating Biases in Context-Dependent Sexual and Reproductive Health Questionsfinding2 citations
- Evaluating Gender Bias of LLMs in Making Morality Judgementsfinding2 citations
- Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual GeneralizationMain2 citations
- Evaluating Large Language Models via Linguistic ProfilingMain2 citations
- Evaluating Readability and Faithfulness of Concept-based ExplanationsMain2 citations
- Explaining Mixtures of Sources in News Articlesfinding2 citations
- Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex ArgumentsMain2 citations
- Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine TranslationMain2 citations
- Exploring Space Efficiency in a Tree-based Linear Model for Extreme Multi-label ClassificationMain2 citations
- Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap ProblemsMain2 citations
- Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventionsfinding2 citations
- Extending Context Window of Large Language Models from a Distributional PerspectiveMain2 citations
- FAC2E: Better Understanding Large Language Model Capabilities by Dissociating Language and CognitionMain2 citations
- FIRST: Faster Improved Listwise Reranking with Single Token DecodingMain2 citations
- FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out DocumentMain2 citations
- FactAlign: Long-form Factuality Alignment of Large Language Modelsfinding2 citations
- FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language UnderstandingMain2 citations
- Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model promptingfinding2 citations
- Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classificationfinding2 citations
- FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression ComprehensionMain2 citations
- Gender Bias in Decision-Making with Large Language Models: A Study of Relationship Conflictsfinding2 citations
- GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News SummarizationMain2 citations
- Gloss2Text: Sign Language Gloss translation using LLMs and Semantically Aware Label Smoothingfinding2 citations
- Grounding Language in Multi-Perspective Referential CommunicationMain2 citations
- HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty DecodingMain2 citations
- HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documentsfinding2 citations
- Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge UtilizationMain2 citations
- How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignmentfinding2 citations
- How Hard is this Test Set? NLI Characterization by Exploiting Training DynamicsMain2 citations
- Human-LLM Hybrid Text Answer Aggregation for Crowd AnnotationsMain2 citations
- HyQE: Ranking Contexts with Hypothetical Query Embeddingsfinding2 citations
- Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text PredictionIndustry2 citations
- HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generationfinding2 citations
- ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentationfinding2 citations
- Improving Discriminative Capability of Reward Models in RLHF Using Contrastive LearningMain2 citations
- Improving Factual Consistency of News Summarization by Contrastive Preference Optimizationfinding2 citations
- In Defense of Structural Sparse Adapters for Concurrent LLM Servingfinding2 citations
- In-Context Compositional Generalization for Large Vision-Language ModelsMain2 citations
- In-context Contrastive Learning for Event Causality IdentificationMain2 citations
- Incubating Text Classifiers Following User Instruction with Nothing but LLMMain2 citations
- Inductive-Deductive Strategy Reuse for Multi-Turn Instructional DialoguesMain2 citations
- Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluationfinding2 citations
- Initialization of Large Language Models via Reparameterization to Mitigate Loss SpikesMain2 citations
- IntCoOp: Interpretability-Aware Vision-Language Prompt TuningMain2 citations
- InternalInspector I2: Robust Confidence Estimation in LLMs through Internal Statesfinding2 citations
- Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?Main2 citations
- Investigating the Personality Consistency in Quantized Role-Playing Dialogue AgentsIndustry2 citations
- Is Compound Aspect-Based Sentiment Analysis Addressed by LLMs?finding2 citations
- Is GPT-4V (ision) All You Need for Automating Academic Data Visualization? Exploring Vision-Language Models’ Capability in Reproducing Academic Chartsfinding2 citations
- Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biasesfinding2 citations
- Jump Starting Bandits with LLM-Generated Prior KnowledgeMain2 citations
- KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in StudentsMain2 citations
- Kiss up, Kick down: Exploring Behavioral Changes in Multi-modal Large Language Models with Assigned Visual PersonasMain2 citations
- Knowledge Verification to Nip Hallucination in the BudMain2 citations
- Knowledge-Centric Templatic Views of Documentsfinding2 citations
- Knowledge-Guided Dynamic Modality Attention Fusion Framework for Multimodal Sentiment Analysisfinding2 citations
- Knowledge-augmented Financial Market Analysis and Report GenerationIndustry2 citations
- Knowledge-based Consistency Testing of Large Language Modelsfinding2 citations
- LIONs: An Empirically Optimized Approach to Align Language ModelsMain2 citations
- LLM Explainability via Attributive Masking Learningfinding2 citations
- LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable ObjectivesMain2 citations
- LLM-based Code-Switched Text Generation for Grammatical Error CorrectionMain2 citations
- LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point RefinementMain2 citations
- LLMs Are Zero-Shot Context-Aware Simultaneous TranslatorsMain2 citations
- LPZero: Language Model Zero-cost Proxy Search from Zerofinding2 citations
- Large Language Models Can Not Perform Well in Understanding and Manipulating Natural Language at Both Character and Word Levels?finding2 citations
- Large Language Models Know What To Say But Not When To Speakfinding2 citations
- Large Language Models are In-context Teachers for Knowledge Reasoningfinding2 citations
- Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language ModelsMain2 citations
- Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Modelsfinding2 citations
- Learning to Correct for QA Reasoning with Black-box LLMsMain2 citations
- Learning to Paraphrase for Alignment with LLM Preferencefinding2 citations
- Let Me Teach You: Pedagogical Foundations of Feedback for Language ModelsMain2 citations
- Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language ModelsMain2 citations
- Leveraging Web-Crawled Data for High-Quality Fine-Tuningfinding2 citations
- LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexiconsfinding2 citations
- LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translationfinding2 citations
- Lifelong Event Detection via Optimal TransportMain2 citations
- Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Modelsfinding2 citations
- Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learningfinding2 citations
- Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contextsfinding2 citations
- Lost in Translation: Chemical Language Models and the Misunderstanding of Molecule Structuresfinding2 citations
- Low-Resource Machine Translation through the Lens of Personalized Federated Learningfinding2 citations
- MAVEN-FACT: A Large-scale Event Factuality Detection Datasetfinding2 citations
- MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Sciencefinding2 citations
- MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank PipelineIndustry2 citations
- MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent SpaceMain2 citations
- MOSEL: Inference Serving Using Dynamic Modality SelectionMain2 citations
- Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy TrainingMain2 citations
- Measuring and Improving Attentiveness to Partial Inputs with Counterfactualsfinding2 citations
- MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregationfinding2 citations
- MedReadMe: A Systematic Study for Fine-grained Sentence Readability in Medical DomainMain2 citations
- Minimal Yet Big Impact: How AI Agent Back-channeling Enhances Conversational Engagement through Conversation Persistence and Context Richnessfinding2 citations
- Mirror-Consistency: Harnessing Inconsistency in Majority Votingfinding2 citations
- Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts AdjustmentMain2 citations
- Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language ModelsMain2 citations
- Model Balancing Helps Low-data Training and Fine-tuningMain2 citations
- Modeling Layout Reading Order as Ordering Relations for Visually-rich Document UnderstandingMain2 citations
- Navigating Hallucinations for Reasoning of Unintentional Activitiesfinding2 citations
- Nebula: A discourse aware Minecraft Builderfinding2 citations
- NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity RecognitionMain2 citations
- On the Universal Truthfulness Hyperplane Inside LLMsMain2 citations
- Open-world Multi-label Text Classification with Extremely Weak SupervisionMain2 citations
- OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio SeparationMain2 citations
- Optimized Speculative Sampling for GPU Hardware AcceleratorsMain2 citations
- Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regressionfinding2 citations
- P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chainsfinding2 citations
- PALM: Few-Shot Prompt Learning for Audio Language ModelsMain2 citations
- PCQPR: Proactive Conversational Question Planning with ReflectionMain2 citations
- Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought VerificationMain2 citations
- Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at ScaleMain2 citations
- Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterionfinding2 citations
- Please note that I’m just an AI: Analysis of Behavior Patterns of LLMs in (Non-)offensive Speech IdentificationMain2 citations
- PolyWER: A Holistic Evaluation Framework for Code-Switched Speech Recognitionfinding2 citations
- PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awarenessfinding2 citations
- PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual AlignmentMain2 citations
- Predicting generalization performance with correctness discriminatorsfinding2 citations
- Presentations are not always linear! GNN meets LLM for Text Document-to-Presentation Transformation with Attributionfinding2 citations
- Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Modelsfinding2 citations
- ProConSuL: Project Context for Code Summarization with LLMsIndustry2 citations
- Promoting Constructive Deliberation: Reframing for Receptivenessfinding2 citations
- PsyGUARD: An Automated System for Suicide Detection and Risk Assessment in Psychological CounselingMain2 citations
- QGEval: Benchmarking Multi-dimensional Evaluation for Question GenerationMain2 citations
- QuBE: Question-based Belief Enhancement for Agentic LLM ReasoningMain2 citations
- Quantum Recurrent Architectures for Text ClassificationMain2 citations
- Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenariofinding2 citations
- RAFT: Realistic Attacks to Fool Text DetectorsMain2 citations
- Re-examining Sexism and Misogyny Classification with Annotator Attitudesfinding2 citations
- RealVul: Can We Detect Vulnerabilities in Web Applications with LLM?Main2 citations
- Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT ModelsMain2 citations
- Reference-based Metrics Disprove Themselves in Question Generationfinding2 citations
- Remember This Event That Year? Assessing Temporal Information and Understanding in Large Language Modelsfinding2 citations
- RepEval: Effective Text Evaluation with LLM RepresentationMain2 citations
- ReportGPT: Human-in-the-loop Verifiable Table-to-Text GenerationIndustry2 citations
- Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single AttributesMain2 citations
- Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference TuningMain2 citations
- Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraftfinding2 citations
- Reward Difference Optimization For Sample Reweighting In Offline RLHFfinding2 citations
- RoQLlama: A Lightweight Romanian Adapted Language Modelfinding2 citations
- Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Modelsfinding2 citations
- SAFETY-J: Evaluating Safety with Critiquefinding2 citations
- SHIELD: LLM-Driven Schema Induction for Predictive Analytics in EV Battery Supply Chain DisruptionsIndustry2 citations
- SLANG: New Concept Comprehension of Large Language ModelsMain2 citations
- Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language ModelsMain2 citations
- Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive Declarative GrammarsMain2 citations
- ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling LawsMain2 citations
- SciDQA: A Deep Reading Comprehension Dataset over Scientific PapersMain2 citations
- Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacksfinding2 citations
- See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learningfinding2 citations
- Self-training Language Models for Arithmetic Reasoningfinding2 citations
- Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language ModelingMain2 citations
- Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of Meta-Learning and Joint Learning AMR Parsingfinding2 citations
- SimLLM: Detecting Sentences Generated by Large Language Models Using Similarity between the Generation and its Re-generationMain2 citations
- Socratic Human Feedback (SoHF): Expert Steering Strategies for LLM Code Generationfinding2 citations
- Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion ModelMain2 citations
- SpecHub: Provable Acceleration to Multi-Draft Speculative DecodingMain2 citations
- Subword Segmentation in LLMs: Looking at Inflection and ConsistencyMain2 citations
- Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting CorrectionsMain2 citations
- Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language ModelsMain2 citations
- TKGT: Redefinition and A New Way of Text-to-Table Tasks Based on Real World Demands and Knowledge Graphs Augmented LLMsMain2 citations
- TRoTR: A Framework for Evaluating the Re-contextualization of Text ReuseMain2 citations
- Table Question Answering for Low-resourced Indic LanguagesMain2 citations
- Take Off the Training Wheels! Progressive In-Context Learning for Effective AlignmentMain2 citations
- Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokensfinding2 citations
- Taylor Unswift: Secured Weight Release for Large Language Models via Taylor ExpansionMain2 citations
- Temporally Consistent Factuality Probing for Large Language ModelsMain2 citations
- Textual Dataset Distillation via Language Model Embeddingfinding2 citations
- The Best Defense is Attack: Repairing Semantics in Textual Adversarial ExamplesMain2 citations
- The Illusion of Competence: Evaluating the Effect of Explanations on Users’ Mental Models of Visual Question Answering SystemsMain2 citations
- The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AIfinding2 citations
- The State of the Art of Large Language Models on Chartered Financial Analyst ExamsIndustry2 citations
- Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse RetrievalMain2 citations
- TimeR4 : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question AnsweringMain2 citations
- To Ask LLMs about English Grammaticality, Prompt Them in a Different Languagefinding2 citations
- TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Modelsfinding2 citations
- ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and FeedbackMain2 citations
- Toward Compositional Behavior in Neural Models: A Survey of Current ViewsMain2 citations
- Tree of Problems: Improving structured problem solving with compositionalityMain2 citations
- Turn Waste into Worth: Rectifying Top-k Router of MoEMain2 citations
- UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language ModelsMain2 citations
- Uncertainty Calibration for Tool-Using Language Agentsfinding2 citations
- Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimizationfinding2 citations
- Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarizationfinding2 citations
- Updating CLIP to Prefer Descriptions Over CaptionsMain2 citations
- Visual Editing with LLM-based Tool Chaining: An Efficient Distillation Approach for Real-Time ApplicationsIndustry2 citations
- Visual Text Matters: Improving Text-KVQA with Visual Text Entity Knowledge-aware Large Multimodal AssistantMain2 citations
- Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMsMain2 citations
- What Are the Odds? Language Models Are Capable of Probabilistic ReasoningMain2 citations
- What Matters in Memorizing and Recalling Facts? Multifaceted Benchmarks for Knowledge Probing in Language Modelsfinding2 citations
- What is lost in Normalization? Exploring Pitfalls in Multilingual ASR Model EvaluationsMain2 citations
- Who’s Who: Large Language Models Meet Knowledge Conflicts in Practicefinding2 citations
- i-Code Studio: A Configurable and Composable Framework for Integrative AISystem Demonstrations2 citations
- “Image, Tell me your story!” Predicting the original meta-context of visual misinformationMain2 citations
- “In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue LearningMain2 citations
- A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detectionfinding1 citations
- A Comparison of Language Modeling and Translation as Multilingual Pretraining ObjectivesMain1 citations
- A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformersfinding1 citations
- A Fairness-Driven Method for Learning Human-Compatible Negotiation Strategiesfinding1 citations
- A Fast and Sound Tagging Method for Discontinuous Named-Entity RecognitionMain1 citations
- A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning SystemsIndustry1 citations
- A Morphology-Based Investigation of Positional EncodingsMain1 citations
- A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-TuningMain1 citations
- A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenariosfinding1 citations
- A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effectfinding1 citations
- A Study of Nationality Bias in Names and Perplexity using Off-the-Shelf Affect-related Tweet ClassifiersMain1 citations
- A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tunefinding1 citations
- A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic InferencesMain1 citations
- ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuningfinding1 citations
- AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responsesfinding1 citations
- ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM ArticlesMain1 citations
- Abstraction-of-Thought Makes Language Models Better Reasonersfinding1 citations
- Accurate and Data-Efficient Toxicity Prediction when Annotators DisagreeMain1 citations
- Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender DiscourseMain1 citations
- Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?Main1 citations
- Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text ClassifiersMain1 citations
- Adapting LLMs for Structured Natural Language API IntegrationIndustry1 citations
- Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational AnswersMain1 citations
- Advancing Vision-Language Models with Adapter Ensemble Strategiesfinding1 citations
- Aegis:An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety EngineeringIndustry1 citations
- AliGATr: Graph-based layout generation for form understandingfinding1 citations
- AlignCap: Aligning Speech Emotion Captioning to Human PreferencesMain1 citations
- AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preferencefinding1 citations
- AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrationsfinding1 citations
- AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete DatasetIndustry1 citations
- An Analysis of Multilingual FActScoreMain1 citations
- An Instruction Tuning-Based Contrastive Learning Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinionsfinding1 citations
- An Inversion Attack Against Obfuscated Embedding Matrix in Language Model InferenceMain1 citations
- An LLM-Enabled Knowledge Elicitation and Retrieval Framework for Zero-Shot Cross-Lingual Stance Identificationfinding1 citations
- Analysis of Plan-based Retrieval for Grounded Text GenerationMain1 citations
- Are LLMs Aware that Some Questions are not Open-ended?finding1 citations
- Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document RevisionsMain1 citations
- Are modern neural ASR architectures robust for polysynthetic languages?finding1 citations
- Attacks against Abstractive Text Summarization Models through Lead Bias and Influence Functionsfinding1 citations
- Audio-Based Linguistic Feature Extraction for Enhancing Multi-lingual and Low-Resource Text-to-Speechfinding1 citations
- AudioVSR: Enhancing Video Speech Recognition with Audio DataMain1 citations
- Auto-Evolve: Enhancing Large Language Model’s Performance via Self-Reasoning Frameworkfinding1 citations
- AutoPersuade: A Framework for Evaluating and Explaining Persuasive ArgumentsMain1 citations
- AutoTrain: No-code training for state-of-the-art modelsSystem Demonstrations1 citations
- Automatic sentence segmentation of clinical record narratives in real-world dataMain1 citations
- Autoregressive Pre-Training on Pixels and TextsMain1 citations
- BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domainfinding1 citations
- Back to School: Translation Using Grammar BooksMain1 citations
- BadFair: Backdoored Fairness Attacks with Group-conditioned Triggersfinding1 citations
- BanglaTLit: A Benchmark Dataset for Back-Transliteration of Romanized Banglafinding1 citations
- Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactualsfinding1 citations
- Beyond Embeddings: The Promise of Visual Table in Visual ReasoningMain1 citations
- Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary LearningMain1 citations
- Beyond Reference: Evaluating High Quality Translations Better than Human ReferencesMain1 citations
- Bi-DCSpell: A Bi-directional Detector-Corrector Interactive Framework for Chinese Spelling Checkfinding1 citations
- BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model InterpretabilityMain1 citations
- Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural ConstraintsMain1 citations
- Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embeddingfinding1 citations
- BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language?finding1 citations
- Boosting Logical Fallacy Reasoning in LLMs via Logical Structure TreeMain1 citations
- Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained ModelsMain1 citations
- Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative RetrievalIndustry1 citations
- Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe RetrievalMain1 citations
- Building Resources for Emakhuwa: Machine Translation and News Classification BenchmarksMain1 citations
- Building an Efficient Multilingual Non-Profit IR System for the Islamic Domain Leveraging Multiprocessing Design in RustIndustry1 citations
- CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Modelsfinding1 citations
- CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language ModelsMain1 citations
- CROWD: Certified Robustness via Weight Distribution for Smoothed Classifiers against Backdoor Attackfinding1 citations
- CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in PlansMain1 citations
- Can Active Label Correction Improve LLM-based Modular AI Systems?Main1 citations
- Can LLMs Learn From Mistakes? An Empirical Study on Reasoning Tasksfinding1 citations
- Can Language Models Induce Grammatical Knowledge from Indirect Evidence?Main1 citations
- Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link PredictionMain1 citations
- Can Machines Resonate with Humans? Evaluating the Emotional and Empathic Comprehension of LMsfinding1 citations
- Can Textual Unlearning Solve Cross-Modality Safety Alignment?finding1 citations
- Can We Instruct LLMs to Compensate for Position Bias?finding1 citations
- CapEEN: Image Captioning with Early Exits and Knowledge Distillationfinding1 citations
- Chain and Causal Attention for Efficient Entity TrackingMain1 citations
- Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answeringfinding1 citations
- ChatGPT Doesn’t Trust Chargers Fans: Guardrail Sensitivity in ContextMain1 citations
- ClaimLens: Automated, Explainable Fact-Checking on Voting Claims Using Frame-SemanticsSystem Demonstrations1 citations
- CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security ResearchMain1 citations
- CoCoHD: Congress Committee Hearing Datasetfinding1 citations
- CoCoST: Automatic Complex Code Generation with Online Searching and Correctness TestingMain1 citations
- CoGen: Learning from Feedback with Coupled Comprehension and GenerationMain1 citations
- CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systemsfinding1 citations
- CodeFort: Robust Training for Code Generation Modelsfinding1 citations
- Communicate to Play: Pragmatic Reasoning for Efficient Cross-Cultural Communicationfinding1 citations
- Compare without Despair: Reliable Preference Evaluation with Generation Separabilityfinding1 citations
- Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective RetrievalMain1 citations
- Comparing a BERT Classifier and a GPT classifier for Detecting Connective Language Across Multiple Social MediaMain1 citations
- ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generationfinding1 citations
- Contextualized Graph Representations for Generating Counter-Narratives against Hate Speechfinding1 citations
- Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy SpeechMain1 citations
- Contrastive Entity Coreference and Disambiguation for Historical TextsMain1 citations
- Control Large Language Models via Divide and ConquerMain1 citations
- CorrSynth - A Correlated Sampling Method for Diverse Dataset Generation from LLMsMain1 citations
- Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMsfinding1 citations
- CoverICL: Selective Annotation for In-Context Learning via Active Graph CoverageMain1 citations
- Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Modelsfinding1 citations
- DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language UnderstandingMain1 citations
- DEM: Distribution Edited Model for Training with Mixed Data DistributionsMain1 citations
- DISCERN: Decoding Systematic Errors in Natural Language for Text ClassifiersMain1 citations
- DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis PredictionMain1 citations
- Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language ModelsMain1 citations
- Datasets for Multilingual Answer Sentence Selectionfinding1 citations
- De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIPMain1 citations
- Debiasing Text Safety Classifiers through a Fairness-Aware EnsembleIndustry1 citations
- Deciphering Rumors: A Multi-Task Learning Approach with Intent-aware Hierarchical Contrastive LearningMain1 citations
- Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational ApproachMain1 citations
- DeepPavlov 1.0: Your Gateway to Advanced NLP Models Backed by Transformers and Transfer LearningSystem Demonstrations1 citations
- Denoising Rationalization for Multi-hop Fact Verification via Multi-granular Explainerfinding1 citations
- Detecting Machine-Generated Long-Form Content with Latent-Space Variablesfinding1 citations
- DetoxLLM: A Framework for Detoxification with ExplanationsMain1 citations
- Dial BeInfo for Faithfulness: Improving Factuality of Information-Seeking Dialogue via Behavioural Fine-Tuningfinding1 citations
- Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMsfinding1 citations
- Disordered-DABS: A Benchmark for Dynamic Aspect-Based Summarization in Disordered Textsfinding1 citations
- Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIPMain1 citations
- Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Trackingfinding1 citations
- Divide and Conquer Radiology Report Generation via Observation Level Fine-grained Pretraining and Prompt TuningMain1 citations
- Do LLMs Know to Respect Copyright Notice?Main1 citations
- Do Large Language Models Know How Much They Know?Main1 citations
- Do Text-to-Vis Benchmarks Test Real Use of Visualisations?Main1 citations
- DocHieNet: A Large and Diverse Dataset for Document Hierarchy ParsingMain1 citations
- Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Modelfinding1 citations
- Domain adapted machine translation: What does catastrophic forgetting forget and why?Main1 citations
- Downstream Trade-offs of a Family of Text Watermarksfinding1 citations
- Dual-oriented Disentangled Network with Counterfactual Intervention for Multimodal Intent DetectionMain1 citations
- Dynamic Multi-Reward Weighting for Multi-Style Controllable GenerationMain1 citations
- DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAGMain1 citations
- EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interactionfinding1 citations
- ECON: On the Detection and Resolution of Evidence ConflictsMain1 citations
- Edit-Constrained Decoding for Sentence Simplificationfinding1 citations
- Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point ProcessMain1 citations
- Effective Synthetic Data and Test-Time Adaptation for OCR CorrectionMain1 citations
- Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific LeaderboardsMain1 citations
- Efficient Sequential Decision Making with Large Language ModelsMain1 citations
- Embedded Named Entity Recognition using Probing ClassifiersMain1 citations
- Embedding and Gradient Say Wrong: A White-Box Method for Hallucination DetectionMain1 citations
- EmbodiedBERT: Cognitively Informed Metaphor Detection Incorporating Sensorimotor Informationfinding1 citations
- Encoding Spreadsheets for Large Language ModelsMain1 citations
- Enhancing Emotion-Cause Pair Extraction in Conversations via Center Event Detection and Reasoningfinding1 citations
- Enhancing Healthcare LLM Trust with Atypical Presentations Recalibrationfinding1 citations
- Enhancing Large Language Model Based Sequential Recommender Systems with Pseudo Labels Reconstructionfinding1 citations
- Enhancing Multi-Label Text Classification under Label-Dependent Noise: A Label-Specific Denoising Frameworkfinding1 citations
- Entity Insertion in Multilingual Linked Corpora: The Case of WikipediaMain1 citations
- Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extractionfinding1 citations
- Error Analysis of Multilingual Language Models in Machine Translation: A Case Study of English-Amharic TranslationMain1 citations
- Evaluating Automatic Metrics with Incremental Machine Translation Systemsfinding1 citations
- Evaluating Concurrent Robustness of Language Models Across Diverse Challenge SetsMain1 citations
- Evaluating LLMs for Targeted Concept Simplification for Domain-Specific TextsMain1 citations
- Evaluating Language Model Character Traitsfinding1 citations
- Event Causality Identification with Synthetic ControlMain1 citations
- ExpertEase: A Multi-Agent Framework for Grade-Specific Document Simplification with Large Language Modelsfinding1 citations
- Explicit Inductive Inference using Large Language Modelsfinding1 citations
- Exploring Intra and Inter-language Consistency in Embeddings with ICAMain1 citations
- Exploring Nested Named Entity Recognition with Large Language Models: Methods, Challenges, and InsightsMain1 citations
- Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASRfinding1 citations
- Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language ModelsMain1 citations
- FAME: Towards Factual Multi-Task Model EditingMain1 citations
- FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Rerankingfinding1 citations
- FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense DisambiguationMain1 citations
- Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approachfinding1 citations
- FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuningIndustry1 citations
- Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Modelfinding1 citations
- Fewer is More: Boosting Math Reasoning with Reinforced Context PruningMain1 citations
- FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial DocumentsMain1 citations
- Financial Forecasting from Textual and Tabular Time Seriesfinding1 citations
- Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocationfinding1 citations
- Fisher Information-based Efficient Curriculum Federated Learning with Large Language ModelsMain1 citations
- Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-fillingMain1 citations
- Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support SettingMain1 citations
- Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modelingfinding1 citations
- Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context ModelsMain1 citations
- Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting KnowledgeMain1 citations
- From Test-Taking to Test-Making: Examining LLM Authoring of Commonsense Assessment Itemsfinding1 citations
- From Text Segmentation to Enhanced Representation Learning: A Novel Approach to Multi-Label Classification for Long Textsfinding1 citations
- Fusion-Eval: Integrating Assistant Evaluators with LLMsIndustry1 citations
- FuxiTranyu: A Multilingual Large Language Model Trained with Balanced DataIndustry1 citations
- GE2PE: Persian End-to-End Grapheme-to-Phoneme Conversionfinding1 citations
- GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language ModelsMain1 citations
- GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced DistillationIndustry1 citations
- Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4Main1 citations
- Generate then Refine: Data Augmentation for Zero-shot Intent Detectionfinding1 citations
- Generative Subgraph Retrieval for Knowledge Graph–Grounded Dialog GenerationMain1 citations
- Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue AgentsMain1 citations
- Grounding Partially-Defined Events in Multimodal Datafinding1 citations
- GuardBench: A Large-Scale Benchmark for Guardrail ModelsMain1 citations
- Guided Knowledge Generation with Language Models for Commonsense Reasoningfinding1 citations
- Guided Profile Generation Improves Personalization with Large Language Modelsfinding1 citations
- HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Modelsfinding1 citations
- How Does the Disclosure of AI Assistance Affect the Perceptions of Writing?Main1 citations
- I Could’ve Asked That: Reformulating Unanswerable QuestionsMain1 citations
- I Need Help! Evaluating LLM’s Ability to Ask for Users’ Support: A Case Study on Text-to-SQL GenerationMain1 citations
- I love pineapple on pizza != I hate pineapple on pizza: Stance-Aware Sentence Transformers for Opinion MiningMain1 citations
- I-AM-G: Interest Augmented Multimodal Generator for Item PersonalizationMain1 citations
- IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot CaptioningMain1 citations
- Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasksfinding1 citations
- Improving Adversarial Robustness in Vision-Language Models with Architecture and Prompt Designfinding1 citations
- Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive LearningMain1 citations
- Improving LLM Attributions with Randomized Path-Integrationfinding1 citations
- Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasetsfinding1 citations
- Improving Referring Ability for Biomedical Language Modelsfinding1 citations
- Improving Retrieval in Sponsored Search by Leveraging Query Context SignalsIndustry1 citations
- Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning ApproachMain1 citations
- In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Modelsfinding1 citations
- Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Casesfinding1 citations
- Information Parity: Measuring and Predicting the Multilingual Capabilities of Language Modelsfinding1 citations
- Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Modelsfinding1 citations
- Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-trainingMain1 citations
- Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentationfinding1 citations
- Interpretability-based Tailored Knowledge Editing in TransformersMain1 citations
- Interpreting Context Look-ups in Transformers: Investigating Attention-MLP InteractionsMain1 citations
- Interventional Speech Noise Injection for ASR Generalizable Spoken Language UnderstandingMain1 citations
- Introducing Spatial Information and a Novel Evaluation Scheme for Open-Domain Live Commentary Generationfinding1 citations
- Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) ModelsMain1 citations
- Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?Main1 citations
- Is This a Bad Table? A Closer Look at the Evaluation of Table Generation from TextMain1 citations
- Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph CompletionMain1 citations
- KMatrix: A Flexible Heterogeneous Knowledge Enhancement Toolkit for Large Language ModelSystem Demonstrations1 citations
- KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor DeductionMain1 citations
- Knowledge-Centric Hallucination DetectionMain1 citations
- KorSmishing Explainer: A Korean-centric LLM-based Framework for Smishing Detection and Explanation GenerationIndustry1 citations
- LEGOBench: Scientific Leaderboard Generation Benchmarkfinding1 citations
- LLM-Evolve: Evaluation for LLM’s Evolving Capability on BenchmarksMain1 citations
- LLM-supertagger: Categorial Grammar Supertagging via Large Language Modelsfinding1 citations
- LLMs as Collaborator: Demands-Guided Collaborative Retrieval-Augmented Generation for Commonsense Knowledge-Grounded Open-Domain Dialogue Systemsfinding1 citations
- LLMs to Replace Crowdsourcing For Parallel Data Creation? The Case of Text Detoxificationfinding1 citations
- LM-Interview: An Easy-to-use Smart Interviewer System via Knowledge-guided Language Model ExploitationSystem Demonstrations1 citations
- LM2: A Simple Society of Language Models Solves Complex ReasoningMain1 citations
- LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoningfinding1 citations
- Label Confidence Weighted Learning for Target-level Sentence SimplificationMain1 citations
- Language Concept Erasure for Language-invariant Dense RetrievalMain1 citations
- Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuningfinding1 citations
- Large Language Models Are Challenged by Habitat-Centered Reasoningfinding1 citations
- Latent Concept-based Explanation of NLP ModelsMain1 citations
- Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case ReformulationMain1 citations
- Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QAfinding1 citations
- Learning to Ask Informative Questions: Enhancing LLMs with Preference Optimization and Expected Information Gainfinding1 citations
- Learning to Extract Structured Entities Using Language ModelsMain1 citations
- Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Modelsfinding1 citations
- Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer LearningMain1 citations
- Let’s Ask GNN: Empowering Large Language Model for Graph In-Context Learningfinding1 citations
- Let’s discuss! Quality Dimensions and Annotated Datasets for Computational Argument Quality AssessmentMain1 citations
- Leveraging Context-Aware Prompting for Commit Message GenerationMain1 citations
- Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text RankingMain1 citations
- Leveraging pre-trained language models for linguistic analysis: A case of argument structure constructionsMain1 citations
- Lighthouse: A User-Friendly Library for Reproducible Video Moment Retrieval and Highlight DetectionSystem Demonstrations1 citations
- Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information RetrievalMain1 citations
- LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learningfinding1 citations
- Local Contrastive Editing of Gender StereotypesMain1 citations
- Locally Measuring Cross-lingual Lexical Alignment: A Domain and Word Level Perspectivefinding1 citations
- Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on WikipediaMain1 citations
- M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-ThoughtMain1 citations
- MARCO: Multi-Agent Real-time Chat OrchestrationIndustry1 citations
- MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale ExtractionMain1 citations
- MASIVE: Open-Ended Affective State Identification in English and SpanishMain1 citations
- MATSA: Multi-Agent Table Structure AttributionSystem Demonstrations1 citations
- MC-indexing: Effective Long Document Retrieval via Multi-view Content-aware Indexingfinding1 citations
- MDCR: A Dataset for Multi-Document Conditional Reasoningfinding1 citations
- MIPD: Exploring Manipulation and Intention In a Novel Corpus of Polish DisinformationMain1 citations
- MMUTF: Multimodal Multimedia Event Argument Extraction with Unified Template Fillingfinding1 citations
- MTA4DPR: Multi-Teaching-Assistants Based Iterative Knowledge Distillation for Dense Passage RetrievalMain1 citations
- MTLS: Making Texts into Linguistic SymbolsMain1 citations
- Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysisfinding1 citations
- MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Educationfinding1 citations
- Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedbackfinding1 citations
- Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding DimensionsMain1 citations
- McCrolin: Multi-consistency Cross-lingual Training for Retrieval Question Answeringfinding1 citations
- Measuring Psychological Depth in Language ModelsMain1 citations
- Measuring the Robustness of NLP Models to Domain Shiftsfinding1 citations
- Media Attitude Detection via Framing Analysis with Events and their RelationsMain1 citations
- Merge to Learn: Efficiently Adding Skills to Language Models with Model Mergingfinding1 citations
- Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and ClassificationMain1 citations
- Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLPMain1 citations
- MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language ModelsMain1 citations
- Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic SmoothingMain1 citations
- Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter MergingMain1 citations
- Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free MetricsMain1 citations
- Mixture of Diverse Size ExpertsIndustry1 citations
- MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task LearningMain1 citations
- Modeling News Interactions and Influence for Financial Market Predictionfinding1 citations
- MolTRES: Improving Chemical Language Representation Learning for Molecular Property PredictionMain1 citations
- Monitoring Hate Speech in Indonesia: An NLP-based Classification of Social Media TextsSystem Demonstrations1 citations
- Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and ChallengesMain1 citations
- Multi-Loss Fusion: Angular and Contrastive Integration for Machine-Generated Text Detectionfinding1 citations
- Multi-Target Cross-Lingual Summarization: a novel task and a language-neutral approachfinding1 citations
- Multi-label Sequential Sentence Classification via Large Language Modelfinding1 citations
- Multi-trait User Simulation with Adaptive Decoding for Conversational Task Assistantsfinding1 citations
- MultiSkill: Evaluating Large Multimodal Models for Fine-grained Alignment Skillsfinding1 citations
- Multiple Knowledge-Enhanced Interactive Graph Network for Multimodal Conversational Emotion Recognitionfinding1 citations
- Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource GlossingMain1 citations
- NALA: an Effective and Interpretable Entity Alignment Methodfinding1 citations
- Nash CoT: Multi-Path Inference with Preference EquilibriumMain1 citations
- NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularizationfinding1 citations
- Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine TranslationMain1 citations
- Noise, Novels, Numbers. A Framework for Detecting and Categorizing Noise in Danish and Norwegian LiteratureMain1 citations
- Normalized Narrow Jump To Conclusions: Normalized Narrow Shortcuts for Parameter Efficient Early Exit Transformer Predictionfinding1 citations
- Numbers Matter! Bringing Quantity-awareness to Retrieval Systemsfinding1 citations
- OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM AssistantsMain1 citations
- On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and ReasoningMain1 citations
- On the Empirical Complexity of Reasoning and Planning in LLMsfinding1 citations
- On the Fragility of Active Learners for Text ClassificationMain1 citations
- On the Rigour of Scientific Writing: Criteria, Analysis, and Insightsfinding1 citations
- One-to-many testing for code generation from (just) natural languagefinding1 citations
- OpenT2T: An Open-Source Toolkit for Table-to-Text GenerationSystem Demonstrations1 citations
- Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration ApproachMain1 citations
- Order of Magnitude Speedups for LLM Membership InferenceMain1 citations
- PANDA: Persona Attributes Navigation for Detecting and Alleviating Overuse Problem in Large Language ModelsMain1 citations
- PDF-to-Tree: Parsing PDF Text Blocks into a Treefinding1 citations
- PclGPT: A Large Language Model for Patronizing and Condescending Language Detectionfinding1 citations
- PepRec: Progressive Enhancement of Prompting for RecommendationMain1 citations
- Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Rankingfinding1 citations
- Position Paper: Data-Centric AI in the Age of Large Language Modelsfinding1 citations
- Precise Model Benchmarking with Only a Few ObservationsMain1 citations
- Predicting Entity Salience in Extremely Short DocumentsIndustry1 citations
- Predictive Multiplicity of Knowledge Graph Embeddings in Link Predictionfinding1 citations
- Preference-Guided Reflective Sampling for Aligning Language ModelsMain1 citations
- Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic CompositionalityMain1 citations
- Pretraining and Finetuning Language Models on Geospatial Networks for Accurate Address MatchingIndustry1 citations
- Privacy Evaluation Benchmarks for NLP Modelsfinding1 citations
- Private Language Models via Truncated Laplacian MechanismMain1 citations
- Probing the Depths of Language Models’ Contact-Center Knowledge for Quality AssuranceIndustry1 citations
- Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Modelsfinding1 citations
- QEFT: Quantization for Efficient Fine-Tuning of LLMsfinding1 citations
- QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardwarefinding1 citations
- Quality Matters: Evaluating Synthetic Data for Tool-Using LLMsMain1 citations
- Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual RetrievalMain1 citations
- Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting SummarizationIndustry1 citations
- RAR: Retrieval-augmented retrieval for code generation in low resource languagesMain1 citations
- RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement ModelsMain1 citations
- RECANTFormer: Referring Expression Comprehension with Varying Numbers of TargetsMain1 citations
- RETAIN: Interactive Tool for Regression Testing Guided LLM MigrationSystem Demonstrations1 citations
- RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation FrameworkMain1 citations
- Rationalizing Transformer Predictions via End-To-End Differentiable Self-TrainingMain1 citations
- ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent SystemsSystem Demonstrations1 citations
- Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Modelsfinding1 citations
- Recent Trends in Linear Text Segmentation: A Surveyfinding1 citations
- Reconsidering Sentence-Level Sign Language TranslationMain1 citations
- Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue SystemMain1 citations
- Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature Enhancementfinding1 citations
- Repairs in a Block World: A New Benchmark for Handling User Corrections with Multi-Modal Language ModelsMain1 citations
- Representation Alignment and Adversarial Networks for Cross-lingual Dependency Parsingfinding1 citations
- Representational Isomorphism and Alignment of Multilingual Large Language Modelsfinding1 citations
- Retrospex: Language Agent Meets Offline Reinforcement Learning CriticMain1 citations
- Reusing Transferable Weight Increments for Low-resource Style GenerationMain1 citations
- Revealing Personality Traits: A New Benchmark Dataset for Explainable Personality Recognition on DialoguesMain1 citations
- Revisiting Supervised Contrastive Learning for Microblog ClassificationMain1 citations
- Revisiting the Impact of Pursuing Modularity for Code Generationfinding1 citations
- Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialoguefinding1 citations
- RoBERT2VecTM: A Novel Approach for Topic Extraction in Islamic Studiesfinding1 citations
- Robust ASR Error Correction with Conservative Data FilteringIndustry1 citations
- SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language ModelsIndustry1 citations
- SCA: Selective Compression Attention for Efficiently Extending the Context Window of Large Language Modelsfinding1 citations
- SEAVER: Attention Reallocation for Mitigating Distractions in Language Models for Conditional Semantic Textual Similarity Measurementfinding1 citations
- SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials ScienceIndustry1 citations
- SEGMENT+: Long Text Processing with Short-Context Language ModelsMain1 citations
- SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and PreparednessMain1 citations
- SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Modelsfinding1 citations
- STTATTS: Unified Speech-To-Text And Text-To-Speech Modelfinding1 citations
- Scalable Efficient Training of Large Language Models with Low-dimensional Projected AttentionMain1 citations
- SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific DocumentsMain1 citations
- SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific TopicsMain1 citations
- Scope-enhanced Compositional Semantic Parsing for DRTMain1 citations
- Seeing the Forest through the Trees: Data Leakage from Partial Transformer GradientsMain1 citations
- Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferabilityfinding1 citations
- Self-Constructed Context Decompilation with Fined-grained Alignment Enhancementfinding1 citations
- Self-Evaluation of Large Language Model based on Glass-box Featuresfinding1 citations
- Self-contradictory reasoning evaluation and detectionfinding1 citations
- Semantic Training Signals Promote Hierarchical Syntactic Generalization in TransformersMain1 citations
- Sequential API Function Calling Using GraphQL SchemaMain1 citations
- Sequential LLM Framework for Fashion RecommendationIndustry1 citations
- Shoes-ACOSI: A Dataset for Aspect-Based Sentiment Analysis with Implicit Opinion Extractionfinding1 citations
- Simul-MuST-C: Simultaneous Multilingual Speech Translation Corpus Using Large Language ModelMain1 citations
- Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language PairMain1 citations
- Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous TranslationMain1 citations
- Skills-in-Context: Unlocking Compositionality in Large Language Modelsfinding1 citations
- SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language ModelSystem Demonstrations1 citations
- SpeciaLex: A Benchmark for In-Context Specialized Lexicon Learningfinding1 citations
- Statistical Uncertainty in Word Embeddings: GloVe-VMain1 citations
- Story Morals: Surfacing value-driven narrative schemas using large language modelsMain1 citations
- Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic TransformationsMain1 citations
- Structured Optimal Brain Pruning for Large Language ModelsMain1 citations
- Subjective Topic meets LLMs: Unleashing Comprehensive, Reflective and Creative Thinking through the Negation of NegationMain1 citations
- Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective EvolutionIndustry1 citations
- Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog SystemsMain1 citations
- TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style ControlMain1 citations
- TL-CL: Task And Language Incremental Continual LearningMain1 citations
- TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourismfinding1 citations
- TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image Captioningfinding1 citations
- Tab2Text - A framework for deep learning with tabular datafinding1 citations
- Taking a turn for the better: Conversation redirection throughout the course of mental-health therapyfinding1 citations
- Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognitionfinding1 citations
- Temporal Cognitive Tree: A Hierarchical Modeling Approach for Event Temporal Relation Extractionfinding1 citations
- Temporal Fact Reasoning over Hyper-Relational Knowledge Graphsfinding1 citations
- Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text ClassificationMain1 citations
- Textless Speech-to-Speech Translation With Limited Parallel Datafinding1 citations
- The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language ModelsMain1 citations
- The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public DiscourseMain1 citations
- The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph RepresentationsMain1 citations
- The Mystery of the Pathological Path-star Task for Language ModelsMain1 citations
- The Shape of Word Embeddings: Quantifying Non-Isometry with Topological Data Analysisfinding1 citations
- The effects of distance on NPI illusive effects in BERTMain1 citations
- TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddingsfinding1 citations
- To Word Senses and Beyond: Inducing Concepts with Contextualized Language ModelsMain1 citations
- Tokenization Falling Short: On Subword Robustness in Large Language Modelsfinding1 citations
- Topic-Oriented Open Relation Extraction with A Priori Seed GenerationMain1 citations
- Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language ModelsMain1 citations
- Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasksfinding1 citations
- Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMsMain1 citations
- Towards Explainable Computerized Adaptive Testing with Large Language Modelfinding1 citations
- Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question AnsweringMain1 citations
- Towards Low-Resource Harmful Meme Detection with LMM AgentsMain1 citations
- Towards Online Continuous Sign Language Recognition and TranslationMain1 citations
- Towards Robust Extractive Question Answering Models: Rethinking the Training Methodologyfinding1 citations
- Towards Tool Use Alignment of Large Language ModelsMain1 citations
- Towards a Greek Proverb Atlas: Computational Spatial Exploration and Attribution of Greek ProverbsMain1 citations
- ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking PerturbationsMain1 citations
- Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators through a User-Centric MethodMain1 citations
- Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendationfinding1 citations
- Training-free Deep Concept Injection Enables Language Models for Video Question AnsweringMain1 citations
- TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer CapabilitiesMain1 citations
- Transferability of Syntax-Aware Graph Neural Networks in Zero-Shot Cross-Lingual Semantic Role Labelingfinding1 citations
- Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance GapsMain1 citations
- Two-tiered Encoder-based Hallucination Detection for Retrieval-Augmented Generation in the WildIndustry1 citations
- ULMR: Unlearning Large Language Models via Negative Response and Model Parameter AverageIndustry1 citations
- Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through ParaphrasingMain1 citations
- Understanding “Democratization” in NLP and ML ResearchMain1 citations
- UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset GenerationMain1 citations
- UniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognitionfinding1 citations
- Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured DataMain1 citations
- Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models DecodingMain1 citations
- Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language ModelsMain1 citations
- Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their ApplicationsMain1 citations
- Unsupervised Domain Adaptation for Keyphrase Generation using Citation Contextsfinding1 citations
- Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy ChannelMain1 citations
- Unsupervised Extraction of Dialogue Policies from ConversationsMain1 citations
- Unveiling the mystery of visual attributes of concrete and abstract concepts: Variability, nearest neighbors, and challenging categoriesMain1 citations
- Using LLMs to simulate students’ responses to exam questionsfinding1 citations
- Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Mediafinding1 citations
- VHASR: A Multimodal Speech Recognition System With Vision HotwordsMain1 citations
- Value Alignment from Unstructured TextIndustry1 citations
- Varying Sentence Representations via Condition-Specified RoutersMain1 citations
- VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUpMain1 citations
- What’s Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview DialogsMain1 citations
- When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Modelsfinding1 citations
- When Context Leads but Parametric Memory Follows in Large Language ModelsMain1 citations
- Where am I? Large Language Models Wandering between Semantics and Structures in Long ContextsMain1 citations
- Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?Main1 citations
- Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language ModelsMain1 citations
- Why do objects have many names? A study on word informativeness in language use and lexical systemsMain1 citations
- WildVis: Open Source Visualizer for Million-Scale Chat Logs in the WildSystem Demonstrations1 citations
- Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?Main1 citations
- Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Informationfinding1 citations
- ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question AnsweringMain1 citations
- Zero-shot Commonsense Reasoning over Machine Imaginationfinding1 citations
- Zero-shot Cross-domain Dialogue State Tracking via Context-aware Auto-prompting and Instruction-following Contrastive DecodingMain1 citations
- xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation MetricsMain1 citations
- ‘Quis custodiet ipsos custodes?’ Who will watch the watchmen? On Detecting AI-generated peer-reviewsMain1 citations
- A Bayesian Approach to Harnessing the Power of LLMs in Authorship AttributionMain
- A Closer Look at Multidimensional Online Political IncivilityMain
- A Cost-Efficient Modular Sieve for Extracting Product Information from Company WebsitesIndustry
- A Critical Look at Meta-evaluating Summarisation Evaluation Metricsfinding
- A Deep Analysis of the Impact of Multiword Expressions and Named Entities on Chinese-English Machine Translationsfinding
- A Framework of Knowledge Graph-Enhanced Large Language Model Based on Question Decomposition and Atomic Retrievalfinding
- A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language ModelsMain
- A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intentsfinding
- A Survey of Ontology Expansion for Conversational UnderstandingMain
- A Training Data Recipe to Accelerate A* Search with Language Modelsfinding
- A Two-Step Approach for Data-Efficient French Pronunciation LearningMain
- A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasksIndustry
- ABLE: Personalized Disability Support with Politeness and Empathy IntegrationMain
- AGRaME: Any-Granularity Ranking with Multi-Vector EmbeddingsMain
- ALVIN: Active Learning Via INterpolationMain
- AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code GenerationMain
- ASTE-Transformer: Modelling Dependencies in Aspect-Sentiment Triplet Extractionfinding
- ASTRA: Automatic Schema Matching using Machine TranslationIndustry
- ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language ModelsMain
- ATQ: Activation Transformation forWeight-Activation Quantization of Large Language Modelsfinding
- AXCEL: Automated eXplainable Consistency Evaluation using LLMsfinding
- Academics Can Contribute to Domain-Specialized Language ModelsMain
- Achieving Stronger Generation via Simple Contrastive Tuningfinding
- Active Listening: Personalized Question Generation in Open-Domain Social Conversation with User Model Based Promptingfinding
- Adaptive Axes: A Pipeline for In-domain Social Stereotype AnalysisMain
- Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimizationfinding
- Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text AttacksMain
- Advancing Cross-Lingual Entity Alignment with Large Language Models: Tailored Sample Segmentation and Zero-Shot Promptsfinding
- Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 LossMain
- Advancing Test-Time Adaptation in Wild Acoustic Test SettingsMain
- Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generationfinding
- Adversarial Text Generation using Large Language Models for Dementia DetectionMain
- AfriInstruct: Instruction Tuning of African Languages for Diverse Tasksfinding
- All You Need is Attention: Lightweight Attention-based Data Augmentation for Text Classificationfinding
- An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment ClassificationMain
- An Experimental Analysis on Evaluating Patent CitationsMain
- An L* Algorithm for Deterministic Weighted Regular LanguagesMain
- Applying Contrastive Learning to Code Vulnerability Type ClassificationMain
- Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine TranslationMain
- Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?Main
- Are ELECTRA’s Sentence Embeddings Beyond Repair? The Case of Semantic Textual Similarityfinding
- Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoningfinding
- Argument Relation Classification through Discourse Markers and Adversarial TrainingMain
- Arxiv Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic AssistanceSystem Demonstrations
- Assessing “Implicit” Retrieval Robustness of Large Language ModelsMain
- Assisting Breastfeeding and Maternity Experts in Responding to User Queries with an AI-in-the-loop ApproachIndustry
- Athena: Safe Autonomous Agents with Verbal Contrastive LearningIndustry
- Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxificationfinding
- Augmenting Reasoning Capabilities of LLMs with Graph Structures in Knowledge Base Question Answeringfinding
- Automated Tone Transcription and Clustering with Tone2Vecfinding
- Automatic Reconstruction of Ancient Chinese Pronunciationsfinding
- Automating Easy Read Text Segmentationfinding
- BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalizationfinding
- BC-Prover: Backward Chaining Prover for Formal Theorem ProvingMain
- BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Modelsfinding
- BPID: A Benchmark for Personal Identity DeduplicationIndustry
- Bahasa Harmony: A Comprehensive Dataset for Bahasa Text-to-Speech Synthesis with Discrete Codec Modeling of EnGen-TTS.finding
- Balancing Visual Context Understanding in Dialogue for Image Retrievalfinding
- Be Helpful but Don’t Talk too Much - Enhancing Helpfulness in Conversations through Relevance in Multi-Turn Emotional SupportMain
- Be a Multitude to Itself: A Prompt Evolution Framework for Red Teamingfinding
- Belief Revision: The Adaptability of Large Language Models ReasoningMain
- Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuningfinding
- Beyond Common Words: Enhancing ASR Cross-Lingual Proper Noun Recognition Using Large Language Modelsfinding
- Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs.finding
- BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasksfinding
- Birdie: Advancing State Space Language Modeling with Dynamic Mixtures of Training ObjectivesMain
- BookWorm: A Dataset for Character Description and Analysisfinding
- Bootstrapped Policy Learning for Task-oriented Dialogue through Goal ShapingMain
- Breaking the Boundaries: A Unified Framework for Chinese Named Entity Recognition Across Text and Speechfinding
- By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual PromptingMain
- CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk PredictionMain
- CASE: Efficient Curricular Data Pre-training for Building Assistive Psychology Expert Modelsfinding
- CAVA: A Tool for Cultural Alignment Visualization & AnalysisSystem Demonstrations
- CEAMC: Corpus and Empirical Study of Argument Analysis in Education via LLMsfinding
- CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Textfinding
- CNEQ: Incorporating numbers into Knowledge Graph Reasoningfinding
- CONSTRUCTURE: Benchmarking CONcept STRUCTUre REasoning for Multimodal Large Language Modelsfinding
- CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language ModelsMain
- CONTOR: Benchmarking Strategies for Completing Ontologies with Plausible Missing Rulesfinding
- CSLM: A Framework for Question Answering Dataset Generation through Collaborative Small Language Modelsfinding
- CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource LanguagesMain
- Can LLMs Replace Clinical Doctors? Exploring Bias in Disease Diagnosis by Large Language Modelsfinding
- Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science CommunicatorsMain
- Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you!Main
- CareCorpus+: Expanding and Augmenting Caregiver Strategy Data to Support Pediatric RehabilitationMain
- Centrality-aware Product Retrieval and RankingIndustry
- Chain of Condition: Construct, Verify and Solve Conditions for Conditional Question Answeringfinding
- CharacterGLM: Customizing Social Characters with Large Language ModelsIndustry
- ChatHF: Collecting Rich Human Feedback from Real-time ConversationsSystem Demonstrations
- CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted CrowdsMain
- CommVQA: Situating Visual Question Answering in Communicative ContextsMain
- Communicating with Speakers and Listeners of Different Pragmatic LevelsMain
- Comparing Edge-based and Node-based Methods on a Citation Prediction Taskfinding
- Computational Meme Understanding: A SurveyMain
- Consistent Bidirectional Language Modelling: Expressive Power and Representational ConcisenessMain
- Consistent Document-level Relation Extraction via Counterfactualsfinding
- Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge GraphsMain
- Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMsfinding
- Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine Translationfinding
- Contribution of Linguistic Typology to Universal Dependency Parsing: An Empirical InvestigationMain
- Controlled Transformation of Text-Attributed Graphsfinding
- Creative Problem Solving in Large Language and Vision Models - What Would it Take?finding
- Creative and Context-Aware Translation of East Asian Idioms with GPT-4finding
- Crisis counselor language and perceived genuine concern in crisis conversationsfinding
- Cross-domain NER with Generated Task-Oriented Knowledge: An Empirical Study from Information Density PerspectiveMain
- Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic ParsingMain
- Cross-lingual Contextualized Phrase Retrievalfinding
- Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target LanguagesMain
- Curriculum Consistency Learning for Conditional Sentence GenerationMain
- DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and RewritingMain
- DEFT-UCS: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection for Text-EditingMain
- Data-driven Coreference-based Ontology Buildingfinding
- DataTales: A Benchmark for Real-World Intelligent Data NarrationMain
- Dealing with Controversy: An Emotion and Coping Strategy Corpus Based on Role Playingfinding
- Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extractionfinding
- Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning FrameworkMain
- DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language ModelsMain
- Delving into Qualitative Implications of Synthetic Data for Hate Speech DetectionMain
- Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuningMain
- Demonstration Selection Strategies for Numerical Time Series Data-to-Textfinding
- Dependency Graph Parsing as Sequence LabelingMain
- Detecting Ambiguous Utterances in an Intelligent AssistantIndustry
- DiAL : Diversity Aware Listwise Ranking for Query Auto-CompleteIndustry
- Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow ExtractionMain
- DisGeM: Distractor Generation for Multiple Choice Questions with Span Maskingfinding
- Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global ExplanationMain
- Disentangling Questions from Query Generation for Task-Adaptive Retrievalfinding
- Distance-aware Calibration for Pre-trained Language Modelsfinding
- Distributional Properties of Subword RegularizationMain
- Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining DatasetsMain
- Divide and Conquer: Legal Concept-guided Criminal Court View Generationfinding
- Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language ModelsIndustry
- Do *they* mean ‘us’? Interpreting Referring Expression variation under Intergroup Biasfinding
- Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysisfinding
- Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in ConversationsMain
- Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented GenerationMain
- DocEE-zh: A Fine-grained Benchmark for Chinese Document-level Event Extractionfinding
- DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding ModelsMain
- Does Context Help Mitigate Gender Bias in Neural Machine Translation?finding
- Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?Main
- Domain Adaptation via Prompt Learning for Alzheimer’s Detectionfinding
- Don’t Shoot The Breeze: Topic Continuity Model Using Nonlinear Naive Bayes With AttentionIndustry
- Don’t be my Doctor! Recognizing Healthcare Advice in Large Language ModelsIndustry
- Dual Process Masking for Dialogue Act Recognitionfinding
- Dual-Phase Accelerated Prompt Optimizationfinding
- Dual-teacher Knowledge Distillation for Low-frequency Word Translationfinding
- DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with EntitiesMain
- Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment AnalysisMain
- Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language ModelsMain
- ECIS-VQG: Generation of Entity-centric Information-seeking Questions from VideosMain
- EH-MAM: Easy-to-Hard Masked Acoustic Modeling for Self-Supervised Speech Representation LearningMain
- ESG-Kor: A Korean Dataset for ESG-related Information Extraction and Practical Use Casesfinding
- EU DisinfoTest: a Benchmark for Evaluating Language Models’ Ability to Detect Disinformation Narrativesfinding
- EXPLORA: Efficient Exemplar Subset Selection for Complex ReasoningMain
- Efficient Active Learning with Adaptersfinding
- Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcriptsfinding
- Efficient Overshadowed Entity Disambiguation by Mitigating Shortcut LearningMain
- Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendationfinding
- Efficient Unseen Language Adaptation for Multilingual Pre-Trained Language ModelsMain
- Efficient Vision-Language pre-training via domain-specific learning for human activitiesMain
- Efficient and Interpretable Grammatical Error Correction with Mixture of Expertsfinding
- Efficiently Computing Susceptibility to Context in Language Modelsfinding
- Eliciting Instruction-tuned Code Language Models’ Capabilities to Utilize Auxiliary Function for Code Generationfinding
- Emosical: An Emotion-Annotated Musical Theatre Datasetfinding
- Empirical Prior for Text Autoencodersfinding
- Employing Glyphic Information for Chinese Event Extraction with Vision-Language Modelfinding
- Empowering Large Language Model for Continual Video Question Answering with Collaborative PromptingMain
- Enable Fast Sampling for Seq2Seq Text Diffusionfinding
- Enabling Cross-Platform Comparison of Online Communities Using Content and Opinion Similarityfinding
- Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector AggregationMain
- Enhancing AI Assisted Writing with One-Shot Implicit Negative FeedbackMain
- Enhancing Arguments Recognition for Financial Mathematical Reasoning over Hybrid Datafinding
- Enhancing Byzantine-Resistant Aggregations with Client Embeddingfinding
- Enhancing Discourse Dependency Parsing with Sentence Dependency Parsing: A Unified Generative Method Based on Code Representationfinding
- Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Modelsfinding
- Enhancing Incremental Summarization with Structured Representationsfinding
- Enhancing Language Model Alignment: A Confidence-Based Approach to Label SmoothingMain
- Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variantsfinding
- Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate PairsMain
- Enhancing Polyglot Voices by Leveraging Cross-Lingual Fine-Tuning in Any-to-One Voice Conversionfinding
- Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEsfinding
- Enhancing Temporal Modeling of Video LLMs via Time Gatingfinding
- Enhancing Training Data Attribution for Large Language Models with Fitting Error ConsiderationMain
- Evaluating Moral Beliefs across LLMs through a Pluralistic Frameworkfinding
- Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language ModelsMain
- Evaluating the Effectiveness of Large Language Models in Establishing Conversational GroundingMain
- Evaluation of Question Answer Generation for Portuguese: Insights and Datasetsfinding
- Event-Keyed Summarizationfinding
- Evolutionary Contrastive Distillation for Language Model Alignmentfinding
- Exploiting Careful Design of SVM Solution for Aspect-term Sentiment Analysisfinding
- Exploring Automated Keyword Mnemonics Generation with Large Language Models via Overgenerate-and-Rankfinding
- Exploring Quantization for Efficient Pre-Training of Transformer Language Modelsfinding
- Exploring Question Guidance and Answer Calibration for Visually Grounded Video Question Answeringfinding
- Exploring Union and Intersection of Visual Regions for Generating Questions, Answers, and DistractorsMain
- Exploring the Capability of Multimodal LLMs with Yonkoma Manga: The YManga Dataset and Its Challenging Tasksfinding
- Exploring the Learning Capabilities of Language Models using LEVERWORLDSMain
- External Knowledge-Driven Argument Mining: Leveraging Attention-Enhanced Multi-Network ModelsMain
- Extractive Medical Entity Disambiguation with Memory Mechanism and Memorized Entity Informationfinding
- F2RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech GenerationMain
- FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validationfinding
- FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMsMain
- Fairness-Aware Online Positive-Unlabeled LearningIndustry
EMNLP accepted papers in other years
Looking for submission deadlines instead? See the conference deadline calendar.