{"total":89,"rows":[{"id":"2202.03629","title":"Survey of Hallucination in Natural Language Generation","created":"2022-02-08","cited_by_count":2075,"area":null},{"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":"2308.05374","title":"Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment","created":"2023-08-10","cited_by_count":401,"area":null},{"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":"2401.11817","title":"Hallucination is Inevitable: An Innate Limitation of Large Language Models","created":"2024-01-22","cited_by_count":332,"area":null},{"id":"2403.08319","title":"Knowledge Conflicts for LLMs: A Survey","created":"2024-03-13","cited_by_count":283,"area":null},{"id":"2406.15927","title":"Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs","created":"2024-06-22","cited_by_count":259,"area":null},{"id":"2307.10169","title":"Challenges and Applications of Large Language Models","created":"2023-07-19","cited_by_count":254,"area":null},{"id":"2307.03987","title":"A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation","created":"2023-07-08","cited_by_count":206,"area":null},{"id":"2206.04624","title":"Factuality Enhanced Language Models for Open-Ended Text Generation","created":"2022-06-09","cited_by_count":202,"area":null},{"id":"2310.09219","title":"\"Kelly is a Warm Person, Joseph is a Role Model\": Gender Biases in LLM-Generated Reference Letters","created":"2023-10-13","cited_by_count":199,"area":null},{"id":"2307.16877","title":"Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering","created":"2023-07-31","cited_by_count":151,"area":null},{"id":"2204.07931","title":"On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?","created":"2022-04-17","cited_by_count":138,"area":null},{"id":"2406.02630","title":"AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways","created":"2024-06-04","cited_by_count":127,"area":null},{"id":"2310.05189","title":"Factuality Challenges in the Era of Large Language Models","created":"2023-10-08","cited_by_count":126,"area":null},{"id":"2204.10757","title":"FaithDial: A Faithful Benchmark for Information-Seeking Dialogue","created":"2022-04-22","cited_by_count":109,"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":"2303.10868","title":"Retrieving Multimodal Information for Augmented Generation: A Survey","created":"2023-03-20","cited_by_count":85,"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":"2105.00071","title":"Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark","created":"2021-04-30","cited_by_count":77,"area":null},{"id":"2306.00946","title":"Exposing Attention Glitches with Flip-Flop Language Modeling","created":"2023-06-01","cited_by_count":75,"area":null},{"id":"2305.06311","title":"Automatic Evaluation of Attribution by Large Language Models","created":"2023-05-10","cited_by_count":72,"area":null},{"id":"2401.05778","title":"Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems","created":"2024-01-11","cited_by_count":66,"area":null},{"id":"2406.10279","title":"We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs","created":"2024-06-12","cited_by_count":65,"area":null},{"id":"2110.08118","title":"Few-Shot Bot: Prompt-Based Learning for Dialogue Systems","created":"2021-10-15","cited_by_count":64,"area":null},{"id":"2110.08222","title":"DialFact: A Benchmark for Fact-Checking in Dialogue","created":"2021-10-15","cited_by_count":62,"area":null},{"id":"2405.15307","title":"Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation","created":"2024-05-24","cited_by_count":50,"area":null},{"id":"2510.06265","title":"Large Language Models Hallucination: A Comprehensive Survey","created":"2025-10-05","cited_by_count":49,"area":null},{"id":"2212.01588","title":"RHO ($\\rho$): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding","created":"2022-12-03","cited_by_count":47,"area":null},{"id":"2311.09533","title":"Effective Large Language Model Adaptation for Improved Grounding and Citation Generation","created":"2023-11-16","cited_by_count":45,"area":null},{"id":"2212.10400","title":"Contrastive Learning Reduces Hallucination in Conversations","created":"2022-12-20","cited_by_count":40,"area":null},{"id":"2402.06647","title":"A Survey on Large Language Model Hallucination via a Creativity Perspective","created":"2024-02-02","cited_by_count":38,"area":null},{"id":"2310.18362","title":"SoK: Memorization in General-Purpose Large Language Models","created":"2023-10-24","cited_by_count":37,"area":null},{"id":"2401.06796","title":"AI Hallucinations: A Misnomer Worth Clarifying","created":"2024-01-09","cited_by_count":34,"area":null},{"id":"2301.04449","title":"Diving Deep into Modes of Fact Hallucinations in Dialogue Systems","created":"2023-01-11","cited_by_count":32,"area":null},{"id":"2410.22685","title":"Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings","created":"2024-10-30","cited_by_count":30,"area":null},{"id":"2110.05456","title":"Rome was built in 1776: A Case Study on Factual Correctness in Knowledge-Grounded Response Generation","created":"2021-10-11","cited_by_count":29,"area":null},{"id":"2303.17574","title":"Elastic Weight Removal for Faithful and Abstractive Dialogue Generation","created":"2023-03-30","cited_by_count":29,"area":null},{"id":"2203.05227","title":"Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods","created":"2022-03-10","cited_by_count":27,"area":null},{"id":"2204.08046","title":"Evaluating Mixed-initiative Conversational Search Systems via User Simulation","created":"2022-04-17","cited_by_count":25,"area":null},{"id":"2301.11259","title":"Domain-Agnostic Molecular Generation with Chemical Feedback","created":"2023-01-26","cited_by_count":22,"area":null},{"id":"2401.08358","title":"Hallucination Detection and Hallucination Mitigation: An Investigation","created":"2024-01-16","cited_by_count":21,"area":null},{"id":"2406.07457","title":"Estimating the Hallucination Rate of Generative AI","created":"2024-06-11","cited_by_count":20,"area":null},{"id":"2406.17260","title":"Mitigating Hallucination in Fictional Character Role-Play","created":"2024-06-25","cited_by_count":18,"area":null},{"id":"2405.06545","title":"Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval","created":"2024-05-10","cited_by_count":16,"area":null},{"id":"2406.05494","title":"Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation","created":"2024-06-08","cited_by_count":15,"area":null},{"id":"2407.12853","title":"Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches","created":"2024-07-09","cited_by_count":15,"area":null},{"id":"2408.13808","title":"Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models","created":"2024-08-25","cited_by_count":15,"area":null},{"id":"2407.01942","title":"Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness","created":"2024-07-02","cited_by_count":14,"area":null},{"id":"2407.03585","title":"Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval","created":"2024-07-04","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":"2210.08511","title":"CDConv: A Benchmark for Contradiction Detection in Chinese Conversations","created":"2022-10-16","cited_by_count":10,"area":null},{"id":"2211.01587","title":"Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation","created":"2022-11-03","cited_by_count":10,"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":"2311.09800","title":"$\\textit{Dial BeInfo for Faithfulness}$: Improving Factuality of Information-Seeking Dialogue via Behavioural Fine-Tuning","created":"2023-11-16","cited_by_count":9,"area":null},{"id":"2209.03632","title":"AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog","created":"2022-09-08","cited_by_count":8,"area":null},{"id":"2310.14981","title":"Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation","created":"2023-10-23","cited_by_count":8,"area":null},{"id":"2504.12314","title":"How to Detect and Defeat Molecular Mirage: A Metric-Driven Benchmark for Hallucination in LLM-based Molecular Comprehension","created":"2025-04-10","cited_by_count":6,"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":"2210.07093","title":"Query Expansion Using Contextual Clue Sampling with Language Models","created":"2022-10-13","cited_by_count":5,"area":null},{"id":"2307.00963","title":"Challenges in Domain-Specific Abstractive Summarization and How to Overcome them","created":"2023-07-03","cited_by_count":5,"area":null},{"id":"2310.10583","title":"Who Are All The Stochastic Parrots Imitating? They Should Tell Us!","created":"2023-10-16","cited_by_count":5,"area":null},{"id":"2310.18794","title":"Sequence-Level Certainty Reduces Hallucination In Knowledge-Grounded Dialogue Generation","created":"2023-10-28","cited_by_count":5,"area":null},{"id":"2312.05356","title":"Neuron Patching: Semantic-based Neuron-level Language Model Repair for Code Generation","created":"2023-12-08","cited_by_count":5,"area":null},{"id":"2204.09453","title":"Event Transition Planning for Open-ended Text Generation","created":"2022-04-20","cited_by_count":4,"area":null},{"id":"2207.12021","title":"Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent","created":"2022-07-25","cited_by_count":4,"area":null},{"id":"2308.06488","title":"Generating Faithful Text From a Knowledge Graph with Noisy Reference Text","created":"2023-08-12","cited_by_count":4,"area":null},{"id":"2408.07852","title":"Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability","created":"2024-08-14","cited_by_count":4,"area":null},{"id":"2210.13673","title":"Evaluating Parameter Efficient Learning for Generation","created":"2022-10-25","cited_by_count":3,"area":null},{"id":"2404.03491","title":"A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation","created":"2024-04-04","cited_by_count":3,"area":null},{"id":"2406.17231","title":"CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph","created":"2024-06-25","cited_by_count":3,"area":null},{"id":"2502.08109","title":"HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses","created":"2025-02-12","cited_by_count":3,"area":null},{"id":"2308.15711","title":"Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection","created":"2023-08-30","cited_by_count":2,"area":null},{"id":"2407.15441","title":"Developing a Reliable, Fast, General-Purpose Hallucination Detection and Mitigation Service","created":"2024-07-22","cited_by_count":2,"area":null},{"id":"2412.06033","title":"Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective","created":"2024-12-08","cited_by_count":2,"area":null},{"id":"2502.15723","title":"Balancing Content Size in RAG-Text2SQL System","created":"2025-01-28","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":"2212.09252","title":"Mind the Knowledge Gap: A Survey of Knowledge-enhanced Dialogue Systems","created":"2022-12-19","cited_by_count":1,"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":"2402.02077","title":"Investigating Content Planning for Navigating Trade-offs in Knowledge-Grounded Dialogue","created":"2024-02-03","cited_by_count":1,"area":null},{"id":"2410.09083","title":"Evaluating the Correctness of Inference Patterns Used by LLMs for Judgment","created":"2024-10-06","cited_by_count":1,"area":null},{"id":"2410.10853","title":"Mitigating Hallucinations Using Ensemble of Knowledge Graph and Vector Store in Large Language Models to Enhance Mental Health Support","created":"2024-10-06","cited_by_count":1,"area":null},{"id":"2411.15661","title":"Improving Next Tokens via Second-to-Last Predictions with Generate and Refine","created":"2024-11-23","cited_by_count":1,"area":null},{"id":"2503.19482","title":"KSHSeek: Data-Driven Approaches to Mitigating and Detecting Knowledge-Shortcut Hallucinations in Generative Models","created":"2025-03-25","cited_by_count":1,"area":null},{"id":"2404.08155","title":"Graph Integrated Language Transformers for Next Action Prediction in Complex Phone Calls","created":"2024-04-11","cited_by_count":0,"area":null},{"id":"2406.09702","title":"Detecting Response Generation Not Requiring Factual Judgment","created":"2024-06-14","cited_by_count":0,"area":null},{"id":"2502.11113","title":"Valuable Hallucinations: Realizable Non-realistic Propositions","created":"2025-02-16","cited_by_count":0,"area":null},{"id":"2603.18022","title":"Using Laplace Transform To Optimize the Hallucination of Generation Models","created":"2026-03-05","cited_by_count":0,"area":null},{"id":"2607.21961","title":"On Improving Faithfulness of Podcasts from Documents","created":"2026-07-24","cited_by_count":0,"area":null}],"next_cursor":null}