Hallucination Detection

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9 papers in the last four weeks, up 200% on the four weeks before. 0.1% of all new papers.

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  1. External Observers May See More Clearly: Cross-Model Span-Level Hallucination Detection in Large Language Models via Hidden State Probing

    Oct 1, 2026Kingshuk Gupta, Davide BuscaldiCitation Hallucination DetectionHallucination Detection

    LIX, École Polytechnique · School of Electrical and Electronic Engineering, Nanyang Technological University · LIPN, Sorbonne Paris Nord

  2. RAIM: Robust Aggregation of Inexpensive Models for Hallucination Detection

    Sep 30, 2026Elia Onofri, Roberto Di PietroJudgesFaithfulness

    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST) Thuwal 23955, Saudi Arabia

  3. Alleviating Hallucination in Reasoning Tasks with Training-Free Uncertainty-Guided Steering

    Sep 30, 2026Litian Liu, Qiqi Hou, Yubing Jian +5Large Language Model HallucinationLarge Language Model Uncertainty

    Qualcomm AI Research · UC Santa Barbara

  4. Halluscoring 2026: The first shared task on llms hallucination detection and answer verification

    Sep 29, 2026Aisha Alansari, Abdessalam Bouchekif, Ahmed Hasanaath +9Hallucination DetectionLarge Language Model Hallucination

    King Fahd University of Petroleum and Minerals, Saudi Arabia · Hamad Bin Khalifa University, Qatar · University of the Basque Country, Spain +5

  5. Beneath the Scores: Rethinking Hallucination Evaluation for Video Understanding Models

    Sep 24, 2026Shuzhi Gong, Fengze Sun, Yuansan LiuCitation HallucinationHallucination Detection

    The University of Melbourne

  6. Vroom-Vroom at SHROOM-Visions: A Multi-Judge Committee for Detecting Hallucinated Spans in Vision-Language Outputs

    Sep 15, 2026Toqeer Ehsan, Nico Penttilä, Richard Schmidt +2Vision-Language Foundation ModelsHallucination Detection

    Reliable Intelligence Team, Physical AI, VTT Technical Research Centre of Finland

  7. When the Wrong Key Wins: Understanding and Detecting Hallucinations in LLMs

    Sep 14, 2026Xuhan Tong, Haoyue Bai, Dawei Zhou +2Large Language Model HallucinationHallucination Detection

    University of Wisconsin–Madison

  8. HaWMPO: Hallucination-Aware World Model-based Policy Optimization for Generalist Robot Policy

    Sep 9, 2026Zengjue Chen, Peidong Liu, Jiawei Li +1Efficient World-Action ModelRobot Policies

    Joy Future Academy, JD · School of Artificial Intelligence, Jilin University

  9. Evidence-Aligned Entity Verification for Hallucination Detection in Retrieval-Augmented Generation

    Sep 8, 2026Runsong Jia, Zhen Fang, Mengjia Wu +2Hallucination DetectionGenerative Hallucination

    University of Technology Sydney, Sydney, Australia

  10. HalluPeer: A Taxonomy-driven Benchmark for Detecting Hallucinations in Scientific Peer Reviews

    Sep 3, 2026Tzu-Ling Lin, Dong-Ting Yao, Teng-Fang Hsiao +2Peer ReviewHallucination Detection

    National Yang Ming Chiao Tung University

  11. Does Playing it Safe Count as Faithfulness? Reassessing LVLM Hallucination Mitigation Methods

    Sep 1, 2026Mehrdad Fazli, Sina Mansouri, Mohit Marvania +1Large Language Model HallucinationHallucination Mitigation

    Department of Computer Science, George Mason University Fairfax, VA 22030, USA

  12. When Do Supervised UQ Ensembles Improve LLM Hallucination Detection? A Robustness Study

    Aug 25, 2026Mohit Singh Chauhan, Vipin Gyanchandani, Dylan BouchardLarge Language Model HallucinationHallucination Detection

    CVS Health®, Wellesley, MA, USA

  13. Prompt Embedding Probes (PEP): Hallucination Detection in LLMs from Hidden States

    Aug 8, 2026Zakhar Mrykhin, Valentin MalykhLarge Language Model HallucinationCitation Hallucination Detection

    HSE University

  14. Decomposed Entailment for Factuality Checking and Hallucination Detection

    Aug 6, 2026Achir Oukelmoun, Nasredine Semmar, Gaël De ChalendarHallucination DetectionLarge Language Model Reliability

    CEA LIST NANO INNOV 2 Bd Thomas Gobert, 91120 Palaiseau, France

  15. HalluTruthQA-4K: A Fine-Grained Corpus and Annotation Process for Arabic Hallucination Detection and Truth Verification

    Aug 4, 2026Salah Eddine Bekhouche, Abdessalam Bouchekif, Hichem Telli +2Hallucination DetectionArabic

    University of the Basque Country, Spain · Hamad Bin Khalifa University, Qatar · University of Biskra, Algeria +1

  16. Detecting Hallucinations and Recovering Verified Answers in Arabic Islamic Question Answering

    Aug 4, 2026Khaled ZianiCitation Hallucination DetectionHallucination Detection

    Independent Researcher, Paris, France

  17. Detail Continuation over a Trustworthy Coarse Scale for Autoregressive Super-Resolution

    Aug 3, 2026Hongyi Fang, Jiahui Wu, Yichen Yue +2Generative Super-ResolutionReconstruction Fidelity

  18. Can Humans Dream of Electric Sheep? Human-Written Samples for Fine-Grained Vision-and-Language Hallucination Benchmarking

    Aug 2, 2026Timothee Mickus, Claudio Savelli, Eduardo Calò +10Large Language Model HallucinationHallucination Rate

    University of Helsinki

  19. Role-Break in Attention Heads: Understanding and Detecting Hallucinations in VLMs

    Jul 31, 2026Mingyu Wang, Weilin Jin, Wenbo Li +5Large Language Model HallucinationGenerative Hallucination

    Peking University, Beijing, China · Joy Future Academy, Beijing, China

  20. Towards Faithful Sentimental Image Captioning via Evidence-Aware Multi-Agent Reasoning

    Jul 28, 2026Tiecheng Cai, Zexian Yang, Chao Chen +2Image Difference CaptioningHallucination Detection

    College of Computer and Data Science, Fuzhou University Fuzhou, China · School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, China

  21. D-Score: A Spectral Hidden-State Signal for Hallucination Detection in Large Language Models

    Jul 27, 2026Bianca Raimondi, Davide Evangelista, Maurizio Gabbrielli +1Hallucination DetectionHallucination Rate

    Department of Computer Science and Engineering, University of Bologna, Bologna, Italy

  22. The Cost of Knowing: A Resource-Aware Protocol for Benchmarking Hallucination Beyond Static Leaderboards

    Jul 27, 2026Keyu Li, Jin Gao, Dequan WangLeaderboardFacts

    Shanghai Jiao Tong University Shanghai, China

  23. Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models

    Jul 24, 2026Junlin Fang, Do Nguyen-Thanh, Xiaogang Xu +2Hallucination DetectionReasoning Traces

    College of Computing and Data Science, Nanyang Technological University · Zhejiang University · Australian Artificial Intelligence Institute, University of Technology Sydney +1

  24. HalluTruthQA: A Fine-Grained Benchmark for Hallucination Detection, Localization, and Explanation in Arabic Question Answering

    Jul 22, 2026Abdessalam Bouchekif, Mohammed-En-Nadhir Zighem, Salah Eddine Bekhouche +9Hallucination DetectionArabic

    Hamad Bin Khalifa University, Qatar · University of the Basque Country, Spain · University of Biskra, Algeria +2

  25. Diversity-Oriented Fine-Tuning for Uncertainty-Based Hallucination Detection

    Jul 18, 2026Qiuyuan Li, Hongliang Dai, Piji LiCitation Hallucination DetectionHallucination Detection

    College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, China · The Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing, China

  26. Hallucination Detection in Large Language Models Using Diversion Decoding

    Jul 11, 2026Basel Abdeen, S M Tahmid Siddiqui, Meah Tahmeed Ahmed +4Large Language Model HallucinationHallucination Detection

    The University of Texas at Dallas, Richardson, TX 75080, USA · National Institute of Standards and Technology, Gaithersburg, USA · Carnegie Mellon University, PA, USA

  27. Detecting Hallucinations in Retrieval-Augmented Generation through Grounding-Aware Sensitivity by Perturbation (GASP)

    Jul 5, 2026Mohamed Aly BoukeHallucination DetectionObject Hallucination

    Centre for Intelligent Cloud Computing, CoE for Advanced Cloud, Faculty of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Bukit Beruang, 75450, Melaka, Malaysia

  28. CrossHallu: Do Hallucination Signals Generalize Across Languages and Domains in Large Language Model's Internals?

    Jul 4, 2026Aisha Alansari, Malak Alkhorasani, Hamzah LuqmanHallucination DetectionObject Hallucination

    King Fahd University of Petroleum and Minerals · Imam Abdulrahman bin Faisal University

  29. Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions

    Jul 3, 2026Eduardo Almeida Palmieri, Mohamed Chahine Ghanem, Dipo Dunsin +3Security EvaluationGenerative Artificial Intelligence

    School of Computer Science and Mathematics, Keele University, Newcastle-under-Lyme ST5 5AA, U.K. · Cybersecurity Institute, University of Liverpool, Liverpool L69 3BX, U.K. · Department of Applied Computing IICL, University of Wales Trinity Saint David, London E14 4HA, U.K. +2

  30. Detecting Clinical Hallucinations in LVLMs via Counterfactual Visual Grounding Uncertainty

    Jun 26, 2026Xiao Song, Haonan Qin, Zhaoxu Zhang +3Citation Hallucination DetectionMedical Vision-Language Models

    School of Intelligent Science and Technology, Nanjing University, Suzhou, China · School of Biomedical Engineering, Nanjing University, Suzhou, China · National Institute of Healthcare Data Science at Nanjing University, Nanjing University, Nanjing, China

  31. Grad Detect: Gradient-Based Hallucination Detection in LLMs

    Jun 23, 2026Anand Kamat, Daniel Blake, Brent M. WernessLarge Language Model HallucinationHallucination Detection

    Amazon

  32. A Benchmark for Hallucination Detection in VLMs for Gastrointestinal Endoscopy

    Jun 23, 2026Aminu Lawal, Niyoj Oli, Sachin Acharya +3Hallucination DetectionMedical Vision-Language Models

    University of Aberdeen, Aberdeen, United Kingdom · Nepal Applied Mathematics and Informatics Institute for Research, Lalitpur, Nepal · West Virginia University, Morgantown, WV, United States

  33. From Text Metrics to Model Internals: A Study of Whisper ASR Hallucination Detection

    Jun 22, 2026Jan Jasiński, Mateusz Barański, Julitta Bartolewska +2Automatic Speech RecognitionHallucination Detection

    Signal Processing Group, Institute of Electronics, AGH University of Krakow, Poland

  34. HALAS: A Human-Annotated Dataset of Hallucinations of Modern ASR Systems

    Jun 22, 2026Mateusz Barański, Jan Jasiński, Julitta Bartolewska +2Automatic Speech Recognition EvaluationAutomatic Speech Recognition

    Signal Processing Group, Institute of Electronics, AGH University of Krakow, Poland

  35. Thermodynamic Signatures of Reasoning: Free-Energy and Spectral-Form-Factor Diagnostics for Hallucination Detection in Large Language Models

    Jun 17, 2026Salim KhazemHallucination DetectionSpectral

    Talan Research & Innovation Center

  36. Hallucination Detection and Correction in Medical VLMs via Counter-Evidence Verification

    Jun 17, 2026Nan Zhou, Ke Zou, Meng Liu +5Citation Hallucination DetectionMedical Vision-Language Models

    the College of Computer Science, Sichuan University. · Yong Loo Lin School of Medicine, National University of Singapore. · National Key Laboratory of Autonomous Intelligent Unmanned Systems, Beijing2026 Institute of Technology. +2

  37. Layer-Resolved Optimal Transport for Hallucination Detection in NMT and Abstractive Summarization

    Jun 11, 2026Mariia Onyshchuk, Maksym-Vasyl Tarnavskyi, Marta SumykCitation Hallucination DetectionNeural Machine Translation

    Faculty of Applied Sciences, Ukrainian Catholic University, Lviv, Ukraine.

  38. Zero-source LLM Hallucination Detection with Human-like Criteria Probing

    Jun 11, 2026Jiahao Yang, Shuhai Zhang, Hailong Kang +3Large Language Model HallucinationHallucination Detection

    South China University of Technology · The University of Melbourne · Pazhou Laboratory +1

  39. Constrained Paraphrase Consistency for LLM Hallucination Detection

    Jun 6, 2026Shanshan Lin, Dongsheng Hong, Sibo Ju +3Large Language Model HallucinationCitation Hallucination Detection

    1Fuzhou University · 2Harbin Institute of Technology (Shenzhen) · 3Beijing University of Posts and Telecommunications

  40. Cross Paraphrastic Invariance Learning for Hallucination Detection

    Jun 6, 2026Shanshan Lin, Dongsheng Hong, Sibo Ju +3Large Language Model HallucinationHallucination Detection

    1Fuzhou University · 2Harbin Institute of Technology (Shenzhen) · 3The Hong Kong University of Science and Technology (Guangzhou)

  41. OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios

    Jun 5, 2026Xinyi Li, Zhen Fang, Yongxin Deng +12Hallucination DetectionLarge Language Model Evaluation

    University of Technology Sydney · University of Bristol · University of Wisconsin–Madison +2

  42. Evidence Graph Consistency in Retrieval-Augmented Generation: A Model-Dependent Analysis of Hallucination Detection

    Jun 4, 2026Jianru ShenCitation Hallucination DetectionHallucination Detection

    University of Montana Missoula, MT, USA

  43. TriLens: Per-Layer Logit-Lens Entropy for White-Box Hallucination Detection

    May 31, 2026Bohan Yang, Yijun Gong, Zhi Zhang +3Citation Hallucination DetectionHallucination Detection

    Binjiang Institute of Zhejiang University · Beijing Normal-Hong Kong Baptist University · Great Bay University +1

  44. KG-Guard: Graph-Based Hallucination Detection for Knowledge Base Question Answering

    May 29, 2026Albert Sawczyn, Piotr Bielak, Tomasz KajdanowiczKnowledge GraphsHallucination Detection

    Department of Artificial Intelligence Wrocław University of Science and Technology Wrocław, Poland

  45. FLaG: Fine-Grained Latent Grouping for Hallucination Detection

    May 29, 2026Wentao Ye, Liyao Li, Zhiqing Xiao +6Hallucination DetectionCitation Hallucination

    Zhejiang University · Hangzhou, Zhejiang, China · Nanyang Technological University +1

  46. K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean Finance

    May 28, 2026Eunbyeol Cho, Yunseung Lee, Mirae Kim +3Large Language Model HallucinationFinancial Question Answering

    KAIST AI · Financial Tech Lab, KakaoBank Corp.

  47. Hallucination Detection-Guided Preference Optimization for Clinical Summarization

    May 27, 2026Shamanth Kuthpadi Seethakantha, Dung Ngoc Thai, Vara Prasad Gudi +6SummarizationHallucination Detection

    1Manning College of Information and Computer Sciences · 2Ensemble HP · 3Columbia University +1

  48. Entropy Distribution as a Fingerprint for Hallucinations in Generative Models

    May 27, 2026Mattia J. Villani, Pranav Deshpande, Akshay Seshadri +2Large Language Model HallucinationHallucination Detection

    Global Technology Applied Research, JPMorganChase, New York, NY 10001, USA

  49. Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains (extended preprint)

    May 26, 2026Paul Sigloch, Christoph BenzmüllerNeuro-Symbolic FrameworkLarge Language Models(Llms

    University of Bamberg, Bamberg, Germany · Free University of Berlin, Berlin, Germany

  50. Automatic Layer Selection for Hallucination Detection

    May 25, 2026Xinpeng Wang, William X. Cao, Andrew Gordon Wilson +1Citation Hallucination DetectionHallucination Detection

    University of Virginia · 2Walrus Security · 3New York University.

  51. Graph Alignment Topology as an Inductive Bias for Grounding Detection

    May 21, 2026Paul Landes, Pranav Herur, Adam Cross +1Large Language Model HallucinationHallucination Detection

    †Department of Pediatrics, University of Illinois College of Medicine Peoria · ♣University of Illinois Urbana-Champaign · ♠Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign +1

  52. VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering

    May 20, 2026Jiayi Chen, Benteng Ma, Zehui Liao +3Citation Hallucination DetectionMedical Visual Question Answering

    Department of Data Science & AI, Faculty of Information Technology, Monash University, Melbourne, VIC 3800, Australia · Hong Kong Polytechnic University, Hong Kong SAR, China · Alfred Health Radiology, Alfred Health, Melbourne, VIC 3004, Australia +1

  53. Do No Harm? Hallucination and Actor-Level Abuse in Web-Deployed Medical Large Language Models

    May 20, 2026Sunday Oyinlola Ogundoyin, Muhammad Ikram, Rahat MasoodHallucination DetectionHarms

    Macquarie University, Sydney, Australia · The University of New South Wales, Sydney, Australia

  54. PARALLAX: Separating Genuine Hallucination Detection from Benchmark Construction Artifacts

    May 16, 2026Khizar Hussain, Murat KantarciogluCitation Hallucination DetectionHallucination Detection

    Virginia Tech

  55. When Answers Stray from Questions: Hallucination Detection via Question-Answer Orthogonal Decomposition

    May 14, 2026Siyang Yao, Erhu Feng, Yubin XiaHallucination DetectionAnswer

    Shanghai Jiao Tong University Shanghai,China

  56. CAAFC: Chronological Actionable Automated Fact-Checker for misinformation / non-factual hallucination detection and correction

    May 12, 2026Islam Eldifrawi, Shengrui Wang, Amine TrabelsiFact-CheckingCitation Hallucination Detection

  57. Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights

    May 11, 2026Wenbo Chen, Veena Padmanabhan, Tootiya Giyahchi +2Large Language Model HallucinationHallucination Detection

    Amazon · Carnegie Mellon University

  58. Med-StepBench: A Hierarchical Reasoning Framework for Evaluating Hallucinations in Medical Vision-Language Models

    May 11, 2026Minh Khoi Nguyen, Dai Lam Le, Amir Reza Jafari +8Medical Vision-Language ModelsCitation Hallucination Detection

    1AI4LIFE, Hanoi University of Science and Technology, Vietnam · 2SAMOVAR, Télécom SudParis, Institut Polytechnique de Paris, France · Military Central Hospital, Vietnam +1

  59. Hallucination Detection via Activations of Open-Weight Proxy Analyzers

    May 8, 2026Akshita Singh, Prabesh Paudel, Siddhartha RoyHallucination DetectionReceiver Operating Characteristic Area Under The Curve

    Khoury College of Computer Sciences Northeastern University

  60. Text Corpora as Concept Fields: Black-Box Hallucination and Novelty Measurement

    May 6, 2026Nicholas S. Kersting, Vittorio Castelli, Chieh Ting Yeh +2Text CorporaField Evaluation

    Oracle Corporation