Hallucination Detection

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9 papers in the last four weeks, up 13% on the four weeks before. 0.1% of all new papers.

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  1. Single-Pass Uncertainty Heads for Claim-Level Hallucination Detection in Persian Medical Language Models

    Oct 2, 2026Mehrdad Ghassabi, Pedram Rostami, Hamidreza Baradaran Kashani +2Hallucination DetectionLLM Hallucination Detection

    Faculty of Computer Engineering University of Isfahan Isfahan, Iran · School of Electrical and Computer Engineering University of Tehran Tehran, Iran · School of Computer Science University of Windsor Windsor, Canada +1

  2. 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 BuscaldiHallucination DetectionLLM Hallucination Detection

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

  3. MEND: Label-Free Detection, Localisation, and Correction of Latent Hallucination in World Models

    Sep 30, 2026Ali J Alrasheed, Aryan Yazdan Parast, Basim Azam +2Hallucination DetectionLatent World Models

    University of Melbourne Melbourne, Australia · Monash University Melbourne, Australia

  4. RAGScope: A Leakage-Controlled, Cost-Aware Evidence-Gating Protocol for RAG Hallucination Triage

    Sep 30, 2026Zeming Liu, Qibai Chen, Jingtao Zhang +1Selective PredictionHallucination Detection

    Brown University, United States · Independent Researcher, United States · Georgia Institute of Technology, United States

  5. Attention Dispersion as a Diagnostic Signal for Hallucination in Large Language Models

    Sep 16, 2026Shardul P. More, Tanuja S. PawarHallucination DetectionLLM Hallucination Detection

    Rajarambapu Institute of Technology Ishwarpur, Maharashtra, India

  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 +2VLM EvaluationHallucination Detection in VLMs

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

  7. OmniHallu: Unified Hallucination Detection for Cross-Modal Comprehension and Generation in Multimodal Large Language Models

    Sep 11, 2026Jianjiang Yang, Peihang Li, Shanqing Xu +3Hallucination Detection in VLMsHallucination Detection

    The University of Manchester · The University of Hong Kong · Huazhong University of Science and Technology +2

  8. Can We Trust Video Hallucination Detectors? VidHalLoc for Evaluating the Evaluators

    Sep 9, 2026Xinyu Chen, Adnan Mahmood, Mark DrasHallucination Detection in VLMsHallucination Detection

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

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

    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 +2Hallucination DetectionScholarly Peer Review

    National Yang Ming Chiao Tung University

  11. Detecting Object Hallucinations in Large Vision-Language Models via Cross-Modal Attention Drifts and Mask-Based Verification

    Sep 2, 2026Xuanbing Wen, Boxu Chen, Le Yang +4Hallucination Detection in VLMsHallucination Detection

    Xi’an Jiaotong University, Xi’an 710049, China · Zhongguancun Laboratory, Beijing 100194, China

  12. Enoki: Efficient Multi-Level Hallucination Detection

    Sep 1, 2026Elisei Rykov, Timur Ionov, Nikolay Ivanov +5Hallucination DetectionLLM Information Extraction

    Skoltech · AIRI · ITMO University +1

  13. ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation

    Aug 31, 2026Samir Abdaljalil, Hunzalah Hassan Bhatti, Ahlam Bashiti +11Hallucination DetectionT2I Generation

    Texas A&M University · Qatar Computing Research Institute, Qatar · Birzeit University, Palestine +2

  14. SpanCalib-VLM: Calibrated Hallucination Span Detection in Vision-Language Models

    Aug 30, 2026Amanuel Gizachew Abebe, Yasmin MoslemHallucination Detection in VLMsHallucination Detection

    Shaggar Institute of Technology · Shaggar City, Ethiopia · Trinity College Dublin +1

  15. SURE-Voice: A Front-End Baseline for Speech-Evidence Filtering in Speech LLMs

    Aug 27, 2026Mengzhe GengAudio-Language Model EvaluationHallucination Detection

    National Research Council Canada

  16. Lost in Speech: Trilingual Spoken Hallucination Detection Across Audio and Transcripts

    Aug 25, 2026Meruyert Aristombayeva, Jason S. Lucas, Chaewan Chun +1Audio-Language Model EvaluationHallucination Detection

    Satbayev University, Almaty, Kazakhstan · University of Colorado Boulder, Boulder, CO, USA · The Pennsylvania State University, University Park, PA, USA

  17. Hallucinations and Constraints : Regulating surgical workflow recognition beyond accuracy

    Aug 10, 2026John S. H. Baxter, Pierre JanninHallucination DetectionProbabilistic Graphical Models

    Université de Rennes, Inserm, Laboratoire Traitement du Signal et de l’Image (LTSI - UMR 1099), F-35000 Rennes, France

  18. TruthLens: Object Hallucination Detection via Self-Evaluating Truthfulness Scores in LVLMs

    Aug 6, 2026Yanqi Wu, Runhe Lai, Xinhua Lu +5VLM EvaluationHallucination Detection in VLMs

    School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China · Peng Cheng Laboratory, Shenzhen, China · Key Laboratory of Machine Intelligence and Advanced Computing, MOE, Guangzhou, China +2

  19. 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 DetectionHallucination in Language Models

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

  20. 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 +10VLM EvaluationHallucination Detection in VLMs

    University of Helsinki

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

    Jul 31, 2026Mingyu Wang, Weilin Jin, Wenbo Li +5Hallucination Detection in VLMsAttention Head Analysis

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

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

    Jul 5, 2026Mohamed Aly BoukeRetrieval-Augmented GenerationLLM Grounding

    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

  23. Beyond Document Grounding: Span-Level Hallucination Detection over Code, Tool Output, and Documents

    Jul 1, 2026Ádám Kovács, Bowei He, Xue Liu +3LLM GroundingHallucination Detection

    KR Labs · MBZUAI · McGill University +1

  24. How Far Can You Get Without a GPU? A Systematic Benchmark of Lightweight Hallucination Detection Across Question Answering, Dialogue, and Summarisation

    Jun 29, 2026Kriti Faujdar, Smit KadvaniHallucination DetectionLLM Hallucination Detection

    Independent Researcher

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

    Jun 23, 2026Aminu Lawal, Niyoj Oli, Sachin Acharya +3VLM EvaluationHallucination Detection in VLMs

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

  26. MotionHalluc: Diagnosing Kinematic Hallucinations in Fine-Grained Motion Reasoning

    Jun 22, 2026Weile Guo, Shenghong He, Danying Mo +3VLM EvaluationSpatiotemporal Reasoning

    1Sun Yat-Sen University · 2Shenzhen University

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

    Jun 22, 2026Mateusz Barański, Jan Jasiński, Julitta Bartolewska +2ASR EvaluationHallucination Detection

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

  28. MedHal-Loc: Are "Explainable-by-Architecture" Medical Hallucination Detectors Faithful Localizers? A Localization Benchmark

    Jun 19, 2026Minmin Chen, Daojian Lu, Yining Dai +2Hallucination DetectionClinical Language Model Evaluation

    Shanwei Institute of Technology, Shanwei, China · Guangdong Provincial People’s Hospital, Guangzhou, China

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

    Jun 17, 2026Salim KhazemHallucination DetectionLLM Hallucination Detection

    Talan Research & Innovation Center

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

    Jun 11, 2026Mariia Onyshchuk, Maksym-Vasyl Tarnavskyi, Marta SumykTransformer InterpretabilityHallucination Detection

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

  31. Hallucination in Medical Imaging AI: A Cross-Modality Analytical Framework for Taxonomy, Detection, and Mitigation under Regulatory Constraints

    Jun 11, 2026Omar Alshahrani, Muzammil BehzadMedical Imaging Foundation ModelsHallucination Detection

    King Fahd University of Petroleum & Minerals, Saudi Arabia · SDAIA-KFUPM Joint Research Center for Artificial Intelligence, Saudi Arabia

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

    Jun 11, 2026Jiahao Yang, Shuhai Zhang, Hailong Kang +3Hallucination DetectionLLM Hallucination Detection

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

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

    Jun 5, 2026Xinyi Li, Zhen Fang, Yongxin Deng +12LLM EvaluationHallucination Detection

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

  34. Detect Before You Leap: Mirage Detection in Vision-Language Models

    May 29, 2026Md. Shaown Miah, S. M. Taiabul Haque, Syed Ishtiaque Ahmed +1Hallucination Detection in VLMsVision-Language Models

    Indiana University Indianapolis · University of Toronto

  35. BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali

    May 29, 2026Shefayat E Shams Adib, Ahmed Alfey Sani, Ekramul Alam Esham +3Multilingual Language Model EvaluationLanguage Model Error Detection

    Department of Computer Science and Engineering, Islamic University of Technology · Department of Computer Science and Engineering, University of California

  36. ReactBench: A Cause-Driven Benchmark for Multimodal Hallucination via Systematic Evaluation

    May 28, 2026Shizhe Zhou, Bohan Jia, Kai Wu +4VLM RobustnessHallucination Detection

    East China Normal University

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

    May 27, 2026Mattia J. Villani, Pranav Deshpande, Akshay Seshadri +2Language Model Error DetectionLanguage Model Generation Evaluation

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

  38. MultiHaluDet: Multilingual Hallucination Detection via LLM Hidden State Probing

    May 24, 2026Riasad Alvi, Nurul Labib Sayeedi, Md. Faiyaz Abdullah SayeediHallucination DetectionHallucination in Language Models

    United International University · BRAC University

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

    May 20, 2026Jiayi Chen, Benteng Ma, Zehui Liao +3Hallucination Detection in VLMsHealthcare

    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

  40. How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study

    May 16, 2026Shuqi Zhu, Yi Zhong, Ziyi Ye +4Hallucination DetectionHallucination in Language Models

    Department of Computer Science and Technology, Tsinghua University, Beijing, China · Institute of Trustworthy Embodied AI, Fudan University, Shanghai, China

  41. Where Does Reasoning Break? Step-Level Hallucination Detection via Hidden-State Transport Geometry

    May 13, 2026Tyler Alvarez, Ali BaheriLanguage Model Error DetectionHallucination Detection

    Rochester Institute of Technology, Rochester, NY, USA.

  42. Instruction Lens Score: Your Instruction Contributes a Powerful Object Hallucination Detector for Multimodal Large Language Models

    May 12, 2026Runhe Lai, Xinhua Lu, Yanqi Wu +3Hallucination Detection in VLMsHallucination Detection

    School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China · Peng Cheng Laboratory, Shenzhen, China · Key Laboratory of Machine Intelligence and Advanced Computing, MOE, Guangzhou, China.

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

    May 11, 2026Wenbo Chen, Veena Padmanabhan, Tootiya Giyahchi +2Hallucination DetectionHallucination in Language Models

    Amazon · Carnegie Mellon University

  44. 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 +8HealthcareHallucination Detection

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

  45. Sanity Checks for Long-Form Hallucination Detection

    May 8, 2026Geigh Zollicoffer, Minh Vu, Hongli Zhan +2LLM EvaluationHallucination Detection

    Los Alamos National Laboratory · The University of Texas at Austin · University of British Columbia

  46. MedFabric and EtHER: A Data-Centric Framework for Word-Level Fabrication Generation and Detection in Medical LLMs

    May 5, 2026Tung Sum Thomas Kwok, Qian Qian, Xiaofeng Lin +8HealthcareHallucination Detection

    University of California, Los Angeles CA 90095, USA · Optum AI, USA

  47. CuraView: A Multi-Agent Framework for Medical Hallucination Detection with GraphRAG-Enhanced Knowledge Verification

    May 5, 2026Severin Ye, Xiao Kong, Xiaopeng He +2HealthcareHallucination Detection

    School of Computer Science and Engineering Kyungpook National University Daegu, Republic of Korea · School of Airspace Science and Engineering Shandong University Weihai, China · Department of English Language and Literature, Kyungpook National University, Daegu, Republic of Korea

  48. From Flat Facts to Sharp Hallucinations: Detecting Stubborn Errors via Gradient Sensitivity

    May 1, 2026Yee Zhing Liew, Andrew Huey Ping Tan, Anwar P. P. Abdul MajeedHallucination DetectionHallucination in Language Models

    School of Intelligent Manufacturing Ecosystem, Xi’an Jiaotong-Liverpool University, People’s Republic of China · Department of Computer Science, University of Liverpool, United Kingdom · Faculty of Engineering and Technology, Sunway University, Malaysia +1

  49. HIVE: Hidden-Evidence Verification for Hallucination Detection in Diffusion Large Language Models

    Apr 28, 2026Guoshenghui Zhao, Tan Yu, Weijie ZhaoHallucination DetectionHallucination in Language Models

    Rochester Institute of Technology · NVIDIA Corporation

  50. Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps

    Apr 21, 2026Jonas Waldendorf, Bashar Awwad Shiekh Hasan, Evgenii TsymbalovAudio-Language Model Hallucination DetectionHallucination Detection

    University of Edinburgh · Amazon AGI

  51. BEACON: Behavioral Entropy Aggregation for Cross-Model Hallucination Detection in Large Language Models

    Apr 20, 2026Naveen Bera, Pulijala Sai Nikhila, Kondaguduru Abhiram +6LLM EvaluationHallucination Detection

    LLM Lens

  52. Fabricator or dynamic translator?

    Apr 16, 2026Lisa Vasileva, Karin SimLLM EvaluationHallucination Detection

    Language Weaver

  53. INTRYGUE: Induction-Aware Entropy Gating for Reliable RAG Uncertainty Estimation

    Mar 23, 2026Alexandra Kuleshova, Andrei Volodichev, Daria Kotova +1Hallucination DetectionLLM Interpretability

    Applied AI Institute

  54. HALT: Hallucination Assessment via Log-probs as Time series

    Feb 2, 2026Ahmad Shapiro, Karan Taneja, Ashok GoelLanguage Model Error DetectionHallucination Detection

    Georgia Institute of Technology · Microsoft

  55. Why Your Deep Research Agent Fails? On Hallucination Evaluation in Full Research Trajectory

    Jan 30, 2026Yuhao Zhan, Tianyu Fan, Linxuan Huang +2Deep Research AgentsHallucination Detection

    Zhejiang University · The University of Hong Kong

  56. Verify when Uncertain: Beyond Self-Consistency in Black Box Hallucination Detection

    Feb 20, 2025Yihao Xue, Kristjan Greenewald, Youssef Mroueh +1Kernel Mean EmbeddingsSelective Prediction

    Department of Computer Science University of California, Los Angeles · MIT-IBM Watson AI Lab · IBM Research