{"total":84,"rows":[{"id":"2403.12968","title":"LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression","created":"2024-03-19","cited_by_count":348,"area":"inference"},{"id":"2404.10774","title":"MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents","created":"2024-04-16","cited_by_count":257,"area":"rag"},{"id":"2404.16789","title":"Continual Learning of Large Language Models: A Comprehensive Survey","created":"2024-04-25","cited_by_count":234,"area":null},{"id":"2403.02901","title":"A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods","created":"2024-03-05","cited_by_count":102,"area":null},{"id":"2310.06762","title":"TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models","created":"2023-10-10","cited_by_count":66,"area":"alignment"},{"id":"2402.13249","title":"TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization","created":"2024-02-20","cited_by_count":66,"area":null},{"id":"2311.06233","title":"Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models","created":"2023-11-10","cited_by_count":47,"area":null},{"id":"2409.07394","title":"AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge","created":"2024-09-11","cited_by_count":37,"area":null},{"id":"2310.19233","title":"Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective","created":"2023-10-30","cited_by_count":34,"area":null},{"id":"2407.00402","title":"Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP","created":"2024-06-29","cited_by_count":27,"area":null},{"id":"2410.13116","title":"Learning to Summarize from LLM-generated Feedback","created":"2024-10-17","cited_by_count":24,"area":"alignment"},{"id":"2409.13035","title":"TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning","created":"2024-09-19","cited_by_count":22,"area":"lr"},{"id":"2505.04847","title":"Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards","created":"2025-05-07","cited_by_count":20,"area":"rag"},{"id":"2407.05216","title":"Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course","created":"2024-07-07","cited_by_count":19,"area":null},{"id":"2410.02748","title":"CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation","created":"2024-10-03","cited_by_count":18,"area":null},{"id":"2403.17768","title":"SciNews: From Scholarly Complexities to Public Narratives -- A Dataset for Scientific News Report Generation","created":"2024-03-26","cited_by_count":12,"area":null},{"id":"2502.07274","title":"Forget Forgetting: Continual Learning in a World of Abundant Memory","created":"2025-02-11","cited_by_count":11,"area":null},{"id":"2506.00549","title":"Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages","created":"2025-05-31","cited_by_count":11,"area":null},{"id":"2502.08514","title":"Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation","created":"2025-02-12","cited_by_count":10,"area":"agents"},{"id":"2410.04087","title":"GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization","created":"2024-10-05","cited_by_count":9,"area":null},{"id":"2410.14545","title":"Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization","created":"2024-10-18","cited_by_count":9,"area":null},{"id":"2503.15272","title":"MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration","created":"2025-03-19","cited_by_count":9,"area":"agents"},{"id":"2506.02011","title":"OASIS: Online Sample Selection for Continual Visual Instruction Tuning","created":"2025-05-27","cited_by_count":9,"area":null},{"id":"2407.21571","title":"PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning","created":"2024-07-31","cited_by_count":8,"area":"moe"},{"id":"2605.29495","title":"On-Policy Replay for Continual Supervised Fine-Tuning","created":"2026-05-28","cited_by_count":8,"area":"distill"},{"id":"2308.03275","title":"Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization","created":"2023-08-07","cited_by_count":6,"area":"distill"},{"id":"2312.08618","title":"Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention","created":"2023-12-14","cited_by_count":6,"area":null},{"id":"2405.01121","title":"Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts","created":"2024-05-02","cited_by_count":6,"area":null},{"id":"2504.11004","title":"Dynamic Compressing Prompts for Efficient Inference of Large Language Models","created":"2025-04-15","cited_by_count":6,"area":"inference"},{"id":"2411.00038","title":"Topic-Conversation Relevance (TCR) Dataset and Benchmarks","created":"2024-10-29","cited_by_count":5,"area":null},{"id":"2503.07956","title":"EFPC: Towards Efficient and Flexible Prompt Compression","created":"2025-03-11","cited_by_count":5,"area":"inference"},{"id":"2504.08024","title":"Summarizing Speech: A Comprehensive Survey","created":"2025-04-10","cited_by_count":5,"area":null},{"id":"2410.02741","title":"Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization","created":"2024-10-03","cited_by_count":4,"area":null},{"id":"2411.18444","title":"Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator","created":"2024-11-27","cited_by_count":4,"area":null},{"id":"2412.10689","title":"Learning to Verify Summary Facts with Fine-Grained LLM Feedback","created":"2024-12-14","cited_by_count":4,"area":"alignment"},{"id":"2503.21332","title":"ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback","created":"2025-03-27","cited_by_count":4,"area":null},{"id":"2504.16786","title":"MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorporating Outlier Scores","created":"2025-04-23","cited_by_count":4,"area":null},{"id":"2405.11055","title":"Leveraging Discourse Structure for Extractive Meeting Summarization","created":"2024-05-17","cited_by_count":3,"area":null},{"id":"2407.04855","title":"Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs","created":"2024-07-05","cited_by_count":3,"area":null},{"id":"2512.20182","title":"FaithLens: Detecting and Explaining Faithfulness Hallucination","created":"2025-12-23","cited_by_count":3,"area":"rag"},{"id":"2406.13009","title":"Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors","created":"2024-06-18","cited_by_count":2,"area":null},{"id":"2412.01004","title":"Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning","created":"2024-12-01","cited_by_count":2,"area":null},{"id":"2502.13001","title":"You need to MIMIC to get FAME: Solving Meeting Transcript Scarcity with a Multi-Agent Conversations","created":"2025-02-18","cited_by_count":2,"area":"agents"},{"id":"2511.15375","title":"Parameter Importance-Driven Continual Learning for Foundation Models","created":"2025-11-19","cited_by_count":2,"area":"lr"},{"id":"2311.18041","title":"Zero-shot Conversational Summarization Evaluations with small Large Language Models","created":"2023-11-29","cited_by_count":1,"area":null},{"id":"2505.12474","title":"What Are They Talking About? A Benchmark of Knowledge-Grounded Discussion Summarization","created":"2025-05-18","cited_by_count":1,"area":null},{"id":"2511.12281","title":"Cmprsr: Abstractive Token-Level Question-Agnostic Prompt Compressor","created":"2025-11-15","cited_by_count":1,"area":"inference"},{"id":"2601.08682","title":"Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarization","created":"2026-01-13","cited_by_count":1,"area":null},{"id":"2602.00885","title":"Reliability-Aware Determinantal Point Processes for Robust Informative Data Selection in Large Language Models","created":"2026-01-31","cited_by_count":1,"area":"inference"},{"id":"2605.10966","title":"MMTB: Evaluating Terminal Agents on Multimedia-File Tasks","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2606.07500","title":"Sparse Subspace-to-Expert Sharing for Task-Agnostic Continual Learning","created":"2026-06-05","cited_by_count":1,"area":null},{"id":"2606.15974","title":"A Large-Scale Multi-Dimensional Empirical Study of LLMs for Conversation Summarization","created":"2026-06-14","cited_by_count":1,"area":null},{"id":"2606.19857","title":"Large Language Models Do Not Always Need Readable Language","created":"2026-06-18","cited_by_count":1,"area":null},{"id":"2607.04223","title":"Detecting Hallucinations in Retrieval-Augmented Generation through Grounding-Aware Sensitivity by Perturbation (GASP)","created":"2026-07-05","cited_by_count":1,"area":"rag"},{"id":"2608.09271","title":"SoftmaxGRPO: Learning to Reason using Softmax Advantage Group Estimation","created":"2026-08-10","cited_by_count":1,"area":"lr"},{"id":"2609.22253","title":"CAMFT: Conflict-Aware Mergeable Fine-Tuning for Large Language Models","created":"2026-09-06","cited_by_count":1,"area":null},{"id":"2408.04114","title":"Zero-shot Factual Consistency Evaluation Across Domains","created":"2024-08-07","cited_by_count":0,"area":null},{"id":"2411.18010","title":"JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services","created":"2024-11-27","cited_by_count":0,"area":"inference"},{"id":"2505.12651","title":"$\\texttt{DIAMONDs}$: A Dataset for $\\mathbb{D}$ynamic $\\mathbb{I}$nformation $\\mathbb{A}$nd $\\mathbb{M}$ental modeling $\\mathbb{O}$f $\\mathbb{N}$umeric $\\mathbb{D}$iscussions","created":"2025-05-19","cited_by_count":0,"area":null},{"id":"2507.15349","title":"Scaling Decentralized Learning with FLock","created":"2025-07-21","cited_by_count":0,"area":null},{"id":"2510.22963","title":"When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents","created":"2025-10-27","cited_by_count":0,"area":"agents"},{"id":"2511.09539","title":"SynClaimEval: A Framework for Evaluating the Utility of Synthetic Data in Long-Context Claim Verification","created":"2025-11-12","cited_by_count":0,"area":"synth"},{"id":"2601.03997","title":"VotIE: Information Extraction from Meeting Minutes","created":"2026-01-07","cited_by_count":0,"area":null},{"id":"2601.17616","title":"Split-on-Share: Mixture of Sparse Experts for Task-Agnostic Continual Learning","created":"2026-01-24","cited_by_count":0,"area":null},{"id":"2602.08149","title":"DIAL-SUMMER: A Structured Evaluation Framework of Hierarchical Errors in Dialogue Summaries","created":"2026-02-08","cited_by_count":0,"area":null},{"id":"2602.08162","title":"NLP for Local Governance Meeting Records: A Focus Article on Tasks, Datasets, Metrics and Benchmark","created":"2026-02-08","cited_by_count":0,"area":null},{"id":"2602.12137","title":"CitiLink-Minutes: A Multilayer Annotated Dataset of Municipal Meeting Minutes","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2602.16607","title":"CitiLink-Summ: Summarization of Discussion Subjects in European Portuguese Municipal Meeting Minutes","created":"2026-02-18","cited_by_count":0,"area":null},{"id":"2604.01652","title":"ThinknCheck: Grounded Claim Verification with Compact, Reasoning-Driven, and Interpretable Models","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2604.01657","title":"What Do Claim Verification Datasets Actually Test? A Reasoning Trace Analysis","created":"2026-04-02","cited_by_count":0,"area":"lr"},{"id":"2604.02574","title":"Understanding the Effects of Safety Unalignment on Large Language Models","created":"2026-04-02","cited_by_count":0,"area":"alignment"},{"id":"2604.17260","title":"Rethinking Meeting Effectiveness: A Benchmark and Framework for Temporal Fine-grained Automatic Meeting Effectiveness Evaluation","created":"2026-04-19","cited_by_count":0,"area":null},{"id":"2604.21345","title":"Evaluating AI Meeting Summaries with a Reusable Cross-Domain Pipeline","created":"2026-04-23","cited_by_count":0,"area":null},{"id":"2606.20890","title":"Topic-to-Timestamp Alignment by Constrained Evidence Selection","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2607.14769","title":"Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2608.01724","title":"TIDES: A Longitudinal Bilingual Dataset for Modeling Multi-Party Social Dynamics","created":"2026-08-03","cited_by_count":0,"area":null},{"id":"2608.15935","title":"Token Distribution versus Data Volume: Domain Balancing in Multi-Domain Meeting Summarisation","created":"2026-08-16","cited_by_count":0,"area":null},{"id":"2608.20392","title":"Evaluation-as-Search: Adaptive Discovery of Grounding Failures in Meeting Assistants","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2609.03923","title":"Speak for Me: Giving LLMs the Situational Awareness to Participate in a Meeting","created":"2026-09-03","cited_by_count":0,"area":"agents"},{"id":"2609.12165","title":"GLARE: Generative Learning via Adversarial Reward Estimation For Social Dynamics Forecasting","created":"2026-09-10","cited_by_count":0,"area":null},{"id":"2609.24678","title":"Muon Can Outperform Dedicated Continual Learning Methods","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.34425","title":"Zero-Shot Cue-Grounded Topic Segmentation of Spoken Documents","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.05163","title":"Blocking at the Boundary: Auditing Long-Horizon Agents against Staged Prompt Injection","created":"2026-10-04","cited_by_count":0,"area":"safety"},{"id":"2610.06940","title":"Stabilizing language models under continual learning via condition-anchored distillation","created":"2026-10-03","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}