{"total":19,"rows":[{"id":"2311.13230","title":"Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus","created":"2023-11-22","cited_by_count":99,"area":null},{"id":"2311.07914","title":"Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey","created":"2023-11-14","cited_by_count":92,"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":"2210.12378","title":"Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling","created":"2022-10-22","cited_by_count":38,"area":null},{"id":"2310.03951","title":"Chain of Natural Language Inference for Reducing Large Language Model Ungrounded Hallucinations","created":"2023-10-06","cited_by_count":35,"area":null},{"id":"2408.00103","title":"ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget","created":"2024-07-31","cited_by_count":16,"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":"2212.02712","title":"Improved Beam Search for Hallucination Mitigation in Abstractive Summarization","created":"2022-12-06","cited_by_count":10,"area":null},{"id":"2305.03276","title":"Expository Text Generation: Imitate, Retrieve, Paraphrase","created":"2023-05-05","cited_by_count":8,"area":null},{"id":"2404.12041","title":"A Survey of Automatic Hallucination Evaluation on Natural Language Generation","created":"2024-04-18","cited_by_count":7,"area":null},{"id":"2310.12450","title":"A Read-and-Select Framework for Zero-shot Entity Linking","created":"2023-10-19","cited_by_count":6,"area":null},{"id":"2503.01670","title":"Evaluating LLMs' Assessment of Mixed-Context Hallucination Through the Lens of Summarization","created":"2025-03-03","cited_by_count":6,"area":null},{"id":"2212.09917","title":"Inverse Reinforcement Learning for Text Summarization","created":"2022-12-19","cited_by_count":5,"area":null},{"id":"2302.08531","title":"Learning with Rejection for Abstractive Text Summarization","created":"2023-02-16","cited_by_count":3,"area":null},{"id":"2506.19607","title":"Correcting Hallucinations in News Summaries: Exploration of Self-Correcting LLM Methods with External Knowledge","created":"2025-06-24","cited_by_count":3,"area":null},{"id":"2411.01485","title":"Domain-specific Guided Summarization for Mental Health Posts","created":"2024-11-03","cited_by_count":2,"area":null},{"id":"2310.12444","title":"Revisiting Sparse Retrieval for Few-shot Entity Linking","created":"2023-10-19","cited_by_count":1,"area":null},{"id":"2402.08581","title":"Improving Factual Error Correction for Abstractive Summarization via Data Distillation and Conditional-generation Cloze","created":"2024-02-13","cited_by_count":0,"area":null},{"id":"2606.08000","title":"Summarization is Not Dead Yet","created":"2026-06-06","cited_by_count":0,"area":null}],"next_cursor":null}