{"total":23,"rows":[{"id":"2404.14851","title":"From Matching to Generation: A Survey on Generative Information Retrieval","created":"2024-04-23","cited_by_count":89,"area":null},{"id":"2310.11877","title":"The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models","created":"2023-10-18","cited_by_count":55,"area":null},{"id":"2401.06796","title":"AI Hallucinations: A Misnomer Worth Clarifying","created":"2024-01-09","cited_by_count":34,"area":null},{"id":"2310.10623","title":"Generating Summaries with Controllable Readability Levels","created":"2023-10-16","cited_by_count":24,"area":null},{"id":"2406.05392","title":"Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey","created":"2024-06-08","cited_by_count":23,"area":null},{"id":"2410.07473","title":"Localizing Factual Inconsistencies in Attributable Text Generation","created":"2024-10-09","cited_by_count":14,"area":null},{"id":"2406.07735","title":"REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy","created":"2024-06-11","cited_by_count":11,"area":null},{"id":"2406.04625","title":"Key-Element-Informed sLLM Tuning for Document Summarization","created":"2024-06-07","cited_by_count":8,"area":null},{"id":"2305.16259","title":"Neural Natural Language Processing for Long Texts: A Survey on Classification and Summarization","created":"2023-05-25","cited_by_count":7,"area":null},{"id":"2305.04782","title":"HistAlign: Improving Context Dependency in Language Generation by Aligning with History","created":"2023-05-08","cited_by_count":6,"area":null},{"id":"2412.10418","title":"Constrained Decoding with Speculative Lookaheads","created":"2024-12-09","cited_by_count":6,"area":null},{"id":"2507.05288","title":"A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models","created":"2025-07-05","cited_by_count":6,"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":"2310.16176","title":"Correction with Backtracking Reduces Hallucination in Summarization","created":"2023-10-24","cited_by_count":4,"area":null},{"id":"2309.17280","title":"STRONG -- Structure Controllable Legal Opinion Summary Generation","created":"2023-09-29","cited_by_count":3,"area":null},{"id":"2308.13696","title":"On the Depth between Beam Search and Exhaustive Search for Text Generation","created":"2023-08-25","cited_by_count":2,"area":null},{"id":"2408.04392","title":"Open-domain Implicit Format Control for Large Language Model Generation","created":"2024-08-08","cited_by_count":2,"area":null},{"id":"2310.09017","title":"Dont Add, dont Miss: Effective Content Preserving Generation from Pre-Selected Text Spans","created":"2023-10-13","cited_by_count":1,"area":null},{"id":"2412.07965","title":"HalluCana: Fixing LLM Hallucination with A Canary Lookahead","created":"2024-12-10","cited_by_count":1,"area":null},{"id":"2511.01359","title":"PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise","created":"2025-11-03","cited_by_count":1,"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":"2603.11415","title":"BLooP: Zero-Shot Abstractive Summarization using Large Language Models with Bigram Lookahead Promotion","created":"2026-03-12","cited_by_count":0,"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}],"next_cursor":null}