{"total":75,"rows":[{"id":"2311.05232","title":"A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions","created":"2023-11-09","cited_by_count":1601,"area":null},{"id":"2404.10774","title":"MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents","created":"2024-04-16","cited_by_count":257,"area":"rag"},{"id":"2402.03927","title":"Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs","created":"2024-02-06","cited_by_count":229,"area":null},{"id":"2310.19736","title":"Evaluating Large Language Models: A Comprehensive Survey","created":"2023-10-30","cited_by_count":202,"area":null},{"id":"2305.14761","title":"UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning","created":"2023-05-24","cited_by_count":160,"area":"mllm"},{"id":"2405.01724","title":"Large Language Models are Inconsistent and Biased Evaluators","created":"2024-05-02","cited_by_count":153,"area":null},{"id":"2309.17012","title":"Benchmarking Cognitive Biases in Large Language Models as Evaluators","created":"2023-09-29","cited_by_count":150,"area":null},{"id":"2306.07899","title":"Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks","created":"2023-06-13","cited_by_count":103,"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":"2407.04069","title":"A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations","created":"2024-07-04","cited_by_count":85,"area":null},{"id":"2305.14239","title":"On Learning to Summarize with Large Language Models as References","created":"2023-05-23","cited_by_count":80,"area":null},{"id":"2410.07137","title":"Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates","created":"2024-10-09","cited_by_count":45,"area":null},{"id":"2501.02497","title":"A Survey of Test-Time Compute: From Intuitive Inference to Deliberate Reasoning","created":"2025-01-05","cited_by_count":40,"area":"lr"},{"id":"2305.13246","title":"Interactive Natural Language Processing","created":"2023-05-22","cited_by_count":31,"area":null},{"id":"2310.10570","title":"On Context Utilization in Summarization with Large Language Models","created":"2023-10-16","cited_by_count":30,"area":null},{"id":"2403.02270","title":"FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction","created":"2024-03-04","cited_by_count":28,"area":null},{"id":"2308.13961","title":"Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models","created":"2023-08-26","cited_by_count":24,"area":null},{"id":"2410.13210","title":"FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs","created":"2024-10-17","cited_by_count":24,"area":"rag"},{"id":"2502.15844","title":"Hallucination Detection in Large Language Models with Metamorphic Relations","created":"2025-02-20","cited_by_count":24,"area":null},{"id":"2505.04847","title":"Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards","created":"2025-05-07","cited_by_count":20,"area":"rag"},{"id":"2310.08394","title":"Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization","created":"2023-10-12","cited_by_count":18,"area":null},{"id":"2402.11456","title":"FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence","created":"2024-02-18","cited_by_count":18,"area":null},{"id":"2503.12600","title":"GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation","created":"2025-03-16","cited_by_count":17,"area":null},{"id":"2505.18585","title":"RvLLM: LLM Runtime Verification with Domain Knowledge","created":"2025-05-24","cited_by_count":17,"area":null},{"id":"2309.12455","title":"LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation","created":"2023-09-21","cited_by_count":16,"area":null},{"id":"2404.11184","title":"FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document","created":"2024-04-17","cited_by_count":15,"area":null},{"id":"2310.18122","title":"OpinSummEval: Revisiting Automated Evaluation for Opinion Summarization","created":"2023-10-27","cited_by_count":13,"area":null},{"id":"2312.08800","title":"Evaluating Large Language Models for Health-related Queries with Presuppositions","created":"2023-12-14","cited_by_count":12,"area":null},{"id":"2311.09521","title":"AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation","created":"2023-11-16","cited_by_count":11,"area":null},{"id":"2411.16638","title":"Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation","created":"2024-11-25","cited_by_count":11,"area":null},{"id":"2503.13299","title":"A Survey on Transformer Context Extension: Approaches and Evaluation","created":"2025-03-17","cited_by_count":11,"area":null},{"id":"2402.03509","title":"Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains","created":"2024-02-05","cited_by_count":10,"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":"2406.11102","title":"Grading Massive Open Online Courses Using Large Language Models","created":"2024-06-16","cited_by_count":7,"area":null},{"id":"2512.08892","title":"Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders","created":"2025-12-09","cited_by_count":7,"area":"rag"},{"id":"2309.06578","title":"Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciences","created":"2023-09-07","cited_by_count":6,"area":null},{"id":"2410.01039","title":"From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls","created":"2024-10-01","cited_by_count":6,"area":null},{"id":"2509.24285","title":"SCI-Verifier: Scientific Verifier with Thinking","created":"2025-09-29","cited_by_count":6,"area":"lr"},{"id":"2402.12821","title":"Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy","created":"2024-02-20","cited_by_count":5,"area":null},{"id":"2405.12939","title":"Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models","created":"2024-05-21","cited_by_count":5,"area":"lr"},{"id":"2410.05824","title":"Multi-Session Client-Centered Treatment Outcome Evaluation in Psychotherapy","created":"2024-10-08","cited_by_count":5,"area":null},{"id":"2506.08336","title":"Your Agent Can Defend Itself against Backdoor Attacks","created":"2025-06-10","cited_by_count":5,"area":"agents"},{"id":"2510.02173","title":"Learning to Reason for Hallucination Span Detection","created":"2025-10-02","cited_by_count":5,"area":"lr"},{"id":"2306.13588","title":"System-Level Natural Language Feedback","created":"2023-06-23","cited_by_count":4,"area":"alignment"},{"id":"2407.12529","title":"Crafting the Path: Robust Query Rewriting for Information Retrieval","created":"2024-07-17","cited_by_count":4,"area":null},{"id":"2505.15792","title":"Long-Form Information Alignment Evaluation Beyond Atomic Facts","created":"2025-05-21","cited_by_count":4,"area":null},{"id":"2407.04969","title":"EVA-Score: Evaluating Abstractive Long-form Summarization on Informativeness through Extraction and Validation","created":"2024-07-06","cited_by_count":3,"area":null},{"id":"2408.07277","title":"Speech vs. Transcript: Does It Matter for Human Annotators in Speech Summarization?","created":"2024-08-12","cited_by_count":3,"area":null},{"id":"2411.05762","title":"Multi-hop Evidence Pursuit Meets the Web: Team Papelo at FEVER 2024","created":"2024-11-08","cited_by_count":3,"area":null},{"id":"2506.05062","title":"Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation","created":"2025-06-05","cited_by_count":3,"area":null},{"id":"2403.03750","title":"German also Hallucinates! Inconsistency Detection in News Summaries with the Absinth Dataset","created":"2024-03-06","cited_by_count":2,"area":null},{"id":"2404.06579","title":"Less is More for Improving Automatic Evaluation of Factual Consistency","created":"2024-04-09","cited_by_count":2,"area":null},{"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":"2406.15809","title":"LaMSUM: Amplifying Voices Against Harassment through LLM Guided Extractive Summarization of User Incident Reports","created":"2024-06-22","cited_by_count":2,"area":null},{"id":"2505.18240","title":"Taming LLMs with Negative Samples: A Reference-Free Framework to Evaluate Presentation Content with Actionable Feedback","created":"2025-05-23","cited_by_count":2,"area":null},{"id":"2506.17748","title":"HIDE and Seek: Detecting Hallucinations in Language Models via Decoupled Representations","created":"2025-06-21","cited_by_count":2,"area":null},{"id":"2507.11981","title":"Simplifications are Absolutists: How Simplified Language Reduces Word Sense Awareness in LLM-Generated Definitions","created":"2025-07-16","cited_by_count":2,"area":null},{"id":"2508.18473","title":"Principled Detection of Hallucinations in Large Language Models via Multiple Testing","created":"2025-08-25","cited_by_count":2,"area":null},{"id":"2603.06636","title":"SmartBench: Evaluating LLMs in Smart Homes with Anomalous Device States and Behavioral Contexts","created":"2026-02-24","cited_by_count":2,"area":null},{"id":"2606.11762","title":"Automated Creativity Evaluation of Language Models Across Open-Ended Tasks","created":"2026-06-10","cited_by_count":2,"area":null},{"id":"2310.07659","title":"Well Begun is Half Done: Generator-agnostic Knowledge Pre-Selection for Knowledge-Grounded Dialogue","created":"2023-10-11","cited_by_count":1,"area":null},{"id":"2409.17640","title":"T3: A Novel Zero-shot Transfer Learning Framework Iteratively Training on an Assistant Task for a Target Task","created":"2024-09-26","cited_by_count":1,"area":null},{"id":"2412.13378","title":"SummExecEdit: A Factual Consistency Benchmark in Summarization with Executable Edits","created":"2024-12-17","cited_by_count":1,"area":null},{"id":"2501.11273","title":"Multi-round, Chain-of-thought Post-editing for Unfaithful Summaries","created":"2025-01-20","cited_by_count":1,"area":"lr"},{"id":"2509.22582","title":"Fine-Grained Detection of Context-Grounded Hallucinations Using LLMs","created":"2025-09-26","cited_by_count":1,"area":null},{"id":"2603.00003","title":"Commitment Checklist: Auditing Author Commitments in Peer Review","created":"2026-01-08","cited_by_count":1,"area":null},{"id":"2403.07557","title":"SIFiD: Reassess Summary Factual Inconsistency Detection with LLM","created":"2024-03-12","cited_by_count":0,"area":null},{"id":"2512.01896","title":"OPOR-Bench: Evaluating Large Language Models on Online Public Opinion Report Generation","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2601.00641","title":"Probabilistic Guarantees for Reducing Contextual Hallucinations in LLMs","created":"2026-01-02","cited_by_count":0,"area":null},{"id":"2602.22827","title":"TARAZ: Persian Short-Answer Question Benchmark for Cultural Evaluation of Language Models","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2604.25665","title":"LLM-ReSum: A Framework for LLM Reflective Summarization through Self-Evaluation","created":"2026-04-28","cited_by_count":0,"area":null},{"id":"2605.26840","title":"Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics","created":"2026-05-26","cited_by_count":0,"area":"alignment"},{"id":"2605.29712","title":"Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies","created":"2026-05-28","cited_by_count":0,"area":"rag"},{"id":"2608.04459","title":"AdaptAgent: A Multi-agent, Domain-Guided Reasoning Framework for Code Adaptation","created":"2026-08-05","cited_by_count":0,"area":"lr"},{"id":"2609.36130","title":"Memory Is a Derivation: The Distributed-Evidence Paradox in Long-Term Agents","created":"2026-09-28","cited_by_count":0,"area":"agents"}],"next_cursor":null}