Hallucination Detection in VLMs

VLM: Vision-Language Model

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10 papers in the last four weeks, up 67% on the four weeks before. 0.1% of all new papers.

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  1. From Routing Signals to Selective Review: Visual regrounding in MoE VLMs

    Sep 29, 2026Hongzhu Guo, Mohsen Fayyaz, Nanyun PengHallucination Detection in VLMsVision-Language Models

    University of California, Los Angeles · Peking University

  2. Do LiDAR Language Models Really Understand Spatio-temporal Relationships?

    Sep 21, 2026Runyi Yang, Murat Akkoyun, Di Wen +8VLM EvaluationHallucination Detection in VLMs

    INSAIT, Sofia University “St. Kliment Ohridski”, Bulgaria · Karlsruhe Institute of Technology, Germany · Hunan University, China

  3. SKstars at SHROOM: Visions Agreement-Guided Ensembling of Zero-Shot and LoRA-Adapted Vision--Language Models

    Sep 21, 2026Ali Athar, Imran Ahsan, Joon-Yong JungHallucination Detection in VLMsVision-Language Models

    Department of Radiology, Seoul St. Mary’s Hospital, The Catholic University of Korea · Department of Smart City, Chung-Ang University

  4. 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

  5. Semantic-Spatial Agreement Verification for Mitigating Object Hallucination in Multimodal Large Language Models

    Sep 15, 2026Ziheng Ren, Qian Gao, Jun Fan +3Hallucination Detection in VLMsObject Hallucination in VLMs

    Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China · Shandong Engineering Research Center of Big Data Applied Technology, Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China · Shandong Provincial Key Laboratory of Industrial Network and Information System Security, Shandong Fundamental Research Center for Computer Science, Jinan 250014, China +2

  6. What Do Hallucinations Reveal About Multimodal Reasoning? Diagnosing Visual Grounding Failures via Contrastive Decoding Probes

    Sep 15, 2026Zhipeng Zhao, Wenxu Wang, Peishun Liu +1Hallucination Detection in VLMsMultimodal Grounding

    1Ocean University of China

  7. HALDETECT at ImageEval 2026 Shared Tasks: Answer-First Contrastive Grounding with QLoRA

    Sep 12, 2026Syed Mohaiminul Hoque, Md Sakhawat HossainVLM EvaluationHallucination Detection in VLMs

    Independent Author

  8. 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

  9. Two-Token Features and Small-Large Ensembles for VLM Hallucination Detection

    Sep 9, 2026Eli SchwartzHallucination Detection in VLMsVision-Language Models

    IBM Research

  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. 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. VisER: Visual Evidence and Reliance for Object Hallucination Detection in LVLMs

    Aug 31, 2026Afsaneh Hasanebrahimi, Hanxun Huang, Christopher Leckie +1Hallucination Detection in VLMsVLM Hallucination

    School of Computing and Information Systems The University of Melbourne Melbourne, Australia

  13. 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

  14. LookBack: Where and How to Score LVLM Responses via Visual Reference Usage

    Aug 12, 2026Beomsik Cho, Jinhyeong Kim, Dongseok Lee +1VLM EvaluationHallucination Detection in VLMs

    Yonsei University

  15. When Visual Signals Mislead: A Mechanistic Study of Attribute Hallucination in Vision-Language Models

    Aug 11, 2026Yufei Zhang, Chenlu Zhan, Hongwei WangHallucination Detection in VLMsVLM Adaptation

    Zhejiang University

  16. UniProbe: A Learnable Token-Level Hallucination Detector for Large VLMs using Multi-Structural Internal Representations

    Aug 11, 2026Dvir Samuel, Guy Bar-Shalom, Fabrizio Frasca +4Hallucination Detection in VLMsVLM Hallucination

    NVIDIA Research, Tel Aviv, Israel · Technion, Haifa, Israel · Bar-Ilan University, Ramat Gan, Israel +1

  17. Same Attention, Different Truths: Put Logit-Lens over Visual Attention to Detect and Mitigate LVLM Object Hallucination

    Aug 7, 2026Zichuan Wang, Songlin Yang, Bo Peng +4Hallucination Detection in VLMsVision-Language Models

    School of Artificial Intelligence, University of Chinese Academy of Sciences · 3Hong Kong University of Science and Technology · 2New Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science

  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. UHP Detection: LVLMs have their Unique Hallucination Pattern in the Consistency Space

    Aug 4, 2026Amir Mohammad Ezzati, Kiyan Rezaee, Bardiya Kariminia +4Hallucination Detection in VLMsVision-Language Models

    Sharif University of Technology · Michigan State University · Shahid Beheshti University +2

  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. Hallucinations Leave a Grounding Signature:Verifier-Guided Decoding for Selective Object Correction

    Jul 30, 2026Lei Yang, Xinze Liu, Dayan Wu +7Hallucination Detection in VLMsLLM Hallucination Mitigation

    Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China · School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China · Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA

  23. HalluScope: Fine-grained Hallucination Diagnosis for Multimodal Large Language Models

    Jul 23, 2026Weilin Jin, Mingyu Wang, Wenbo Li +5Hallucination Detection in VLMsMultimodal Hallucination

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

  24. MoHallBench: A Benchmark for Motion Hallucination in Video Large Language Models

    Jul 1, 2026Sihan Chen, Jiale Li, Jianghang Lin +1VLM EvaluationHallucination Detection in VLMs

    State Key Laboratory of General Artificial Intelligence, Peking University, Shenzhen Graduate School, Shenzhen, China · South China University of Technology, Guangzhou, China · Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen, China

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

    Jun 26, 2026Xiao Song, Haonan Qin, Zhaoxu Zhang +3Hallucination Detection in VLMsVLM Hallucination

    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

  26. 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

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

    Jun 17, 2026Nan Zhou, Ke Zou, Meng Liu +5Hallucination Detection in VLMsVision-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

  28. Look Again Before You Abstain:Budgeted Conformal Evidence Acquisition for Reliable Vision-Language Model

    Jun 15, 2026Jian Xu, Delu Zeng, John Paisley +1Hallucination Detection in VLMsActive Perception

    RIKEN iTHEMS · RIKEN AIP · South China University of Technology +1

  29. Density Ridge Selective Prediction for LLM and VLM Hallucination Detection under Calibration Label Scarcity

    Jun 8, 2026Nina I. ShamsiHallucination Detection in VLMsVision-Language Models

    Northeastern University Boston, United States

  30. How Many Counterfactuals Does It Take? Probing VLM Hallucinations Through Circuits and Causal Effects

    Jun 7, 2026Abhivansh Gupta, Simardeep Singh, Advika Sinha +2Hallucination Detection in VLMsVLM Robustness

    Data Science Group, IIT Roor- kee, Roorkee, Uttarakhand, India.

  31. 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

  32. CHASD: Language Increment-Calibrated Contrastive Decoding against Hallucination in LVLMs

    May 22, 2026Xiaoyi Huang, Kejia Zhang, Zhiming LuoHallucination Detection in VLMsEfficient VLM Inference

    Institute of Artificial Intelligence, Xiamen University · Department of Artificial Intelligence, Xiamen University

  33. 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

  34. 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.

  35. When Looking Is Not Enough: Visual Attention Structure Reveals Hallucination in MLLMs

    May 12, 2026Fanpu Cao, Xin Zou, Xuming Hu +1Hallucination Detection in VLMsHallucination in Language Models

    Thrust of Artificial Intelligence, HKUST (Guangzhou), China · Department of Computer Science and Engineering, HKUST, Hong Kong SAR, China

  36. R-CoV: Region-Aware Chain-of-Verification for Alleviating Object Hallucinations in LVLMs

    Apr 22, 2026Jiahao Xie, Alessio Tonioni, Nathalie Rauschmayr +2Hallucination Detection in VLMsVision-Language Models

    Max Planck Institute for Informatics, SIC · VIA Research Center · Google

  37. LLM-as-Judge Framework for Evaluating Tone-Induced Hallucination in Vision-Language Models

    Apr 20, 2026Zhiyuan Jiang, Weihao Hong, Xinlei Guan +8VLM EvaluationHallucination Detection in VLMs

    Kean University, USA · North Dakota State University, Fargo, ND, USA · McGill University, Montreal, Quebec, Canada +1

  38. DO-Bench: An Attributable Benchmark for Diagnosing Object Hallucination in Vision-Language Models

    Apr 18, 2026JiYang Wang, Jiawei Chen, Mengqi Xiao +3VLM EvaluationHallucination Detection in VLMs

    Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University · Zhongguancun Academy