{"total":27,"rows":[{"id":"2305.11747","title":"HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models","created":"2023-05-19","cited_by_count":341,"area":null},{"id":"2311.01740","title":"SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency","created":"2023-11-03","cited_by_count":90,"area":null},{"id":"2401.03205","title":"The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models","created":"2024-01-06","cited_by_count":88,"area":null},{"id":"2309.06794","title":"Cognitive Mirage: A Review of Hallucinations in Large Language Models","created":"2023-09-13","cited_by_count":84,"area":null},{"id":"2405.19648","title":"Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach","created":"2024-05-30","cited_by_count":42,"area":null},{"id":"2310.12086","title":"FactCHD: Benchmarking Fact-Conflicting Hallucination Detection","created":"2023-10-18","cited_by_count":29,"area":null},{"id":"2403.04307","title":"HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild","created":"2024-03-07","cited_by_count":27,"area":null},{"id":"2401.06774","title":"Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-Data","created":"2023-12-09","cited_by_count":26,"area":null},{"id":"2506.11094","title":"The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs","created":"2025-06-06","cited_by_count":26,"area":null},{"id":"2408.12325","title":"Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators","created":"2024-08-22","cited_by_count":19,"area":null},{"id":"2404.07461","title":"An Audit on the Perspectives and Challenges of Hallucinations in NLP","created":"2024-04-11","cited_by_count":17,"area":null},{"id":"2410.07053","title":"Robots in the Middle: Evaluating LLMs in Dispute Resolution","created":"2024-10-09","cited_by_count":14,"area":null},{"id":"2503.07833","title":"HalluVerse25: Fine-grained Multilingual Benchmark Dataset for LLM Hallucinations","created":"2025-03-10","cited_by_count":14,"area":null},{"id":"2308.07902","title":"Through the Lens of Core Competency: Survey on Evaluation of Large Language Models","created":"2023-08-15","cited_by_count":12,"area":null},{"id":"2404.03745","title":"Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinations","created":"2024-04-04","cited_by_count":12,"area":null},{"id":"2310.00259","title":"AutoHall: Automated Factuality Hallucination Dataset Generation for Large Language Models","created":"2023-09-30","cited_by_count":10,"area":null},{"id":"2504.18114","title":"Evaluating Evaluation Metrics -- The Mirage of Hallucination Detection","created":"2025-04-25","cited_by_count":6,"area":null},{"id":"2406.00975","title":"Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost","created":"2024-06-03","cited_by_count":5,"area":null},{"id":"2408.10490","title":"Analysis of Plan-based Retrieval for Grounded Text Generation","created":"2024-08-20","cited_by_count":5,"area":null},{"id":"2502.01812","title":"SelfCheck-Eval: A Multi-Module Framework for Zero-Resource Hallucination Detection in Large Language Models","created":"2025-02-03","cited_by_count":4,"area":null},{"id":"2402.01700","title":"Question answering systems for health professionals at the point of care -- a systematic review","created":"2024-01-24","cited_by_count":3,"area":null},{"id":"2504.01153","title":"Catch Me if You Search: When Contextual Web Search Results Affect the Detection of Hallucinations","created":"2025-04-01","cited_by_count":3,"area":null},{"id":"2602.06920","title":"Halluverse-M^3: A multitask multilingual benchmark for hallucination in LLMs","created":"2026-02-06","cited_by_count":3,"area":null},{"id":"2510.27052","title":"VISTA: Verification In Sequential Turn-based Assessment","created":"2025-10-30","cited_by_count":1,"area":null},{"id":"2511.08916","title":"HalluClean: A Unified Framework to Combat Hallucinations in LLMs","created":"2025-11-12","cited_by_count":1,"area":null},{"id":"2608.26168","title":"Hallucinations in LLMs: A Lifecycle-Based Survey of Causes, Detection, Mitigation, and Prevention","created":"2026-07-20","cited_by_count":0,"area":null},{"id":"2609.00492","title":"The Privacy-Hallucination Tradeoff in Differentially Private Language Models","created":"2026-08-31","cited_by_count":0,"area":null}],"next_cursor":null}