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. Fact over Fiction: Detection of Pathological Hallucinations in Sinhala-to-English Neural Machine Translation

    Oct 8, 2026Navam Obeysekara, Nevidu JayatillekeHallucination DetectionHallucination in Language Models

    School of Computing, Informatics Institute of Technology, Sri Lanka · Department of Computer Science & Engineering, University of Moratuwa, Sri Lanka

  2. When Citations Mislead? A Claim-Level Benchmark for Legal Hallucination Detection

    Oct 7, 2026M. Mikail Demir, M. Abdullah CanbazLegal Citation VerificationHallucination Detection

    University at Albany, SUNY Albany, New York, USA

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

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

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

  11. 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

  12. 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

  13. 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

  14. Enoki: Efficient Multi-Level Hallucination Detection

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

    Skoltech · AIRI · ITMO University +1

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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