Visual Hallucinations

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

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  1. 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

  2. Beyond Attention Imbalance: Mitigating Hallucinations via Spectral Surgery

    Sep 29, 2026Siqi Lu, Suo Wei, Yongbin Zheng +3Recent Vision-Language ModelsVisual Hallucinations

    College of Intelligence Science and Technology, National University of Defense Technology, China · School of Computer Science, Northwestern Polytechnical University, China · Ningbo Institute, Northwestern Polytechnical University, China +1

  3. Beyond Saying Less: Fine-Grained Alignment for Informative and Faithful Vision-Language Models

    Sep 28, 2026Xingming Long, Jie Zhang, Yuecong Min +2Large Language Model HallucinationVisual Hallucinations

    State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences · University of Chinese Academy of Sciences · Zhongguancun Academy

  4. Before the Token Commits: Trajectory-Level Benchmarking of Visual Hallucinations in Diffusion VLMs

    Sep 28, 2026Yadong Wang, Siping Yue, Yu Tian +2Large Language Model HallucinationVisual Hallucinations

    Nanjing University of Aeronautics and Astronautics · State Key Laboratory of Ocean Sensing, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, China · Security Capability Center

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

    Sep 15, 2026Zhipeng Zhao, Wenxu Wang, Peishun Liu +1Weak Visual GroundingMultimodal Reasoning

    1Ocean University of China

  6. When Rubrics Fail: Hallucinations Reveal Blind Spots in Medical AI Evaluation

    Sep 14, 2026Griffin Farrow, Lily Sijia Li, Jack Johnson +4Clinician TrustVisual Hallucinations

    University of Oxford

  7. The Cost of Compression: A Rate-Distortion Limit on Factual Hallucination

    Sep 14, 2026Xi Wang, Shijia Xu, Rongfeng GuoFactual RecallVisual Hallucinations

    Hefei Institutes of Physical Science, Chinese Academy of Sciences, China · University of Science and Technology of China, China · Chongqing University, China +1

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

    Sep 9, 2026Xinyu Chen, Adnan Mahmood, Mark DrasCitation Hallucination DetectionAi-Generated Video Detection

  9. CHARM: Character Hallucination for Multicultural Role Play Benchmark

    Sep 1, 2026Sunkyung Han, Nahyeon Park, Gaeun Seo +2Large Language Model HallucinationVisual Hallucinations

    Sungkyunkwan University, Suwon, South Korea · Adobe Research, CA, USA

  10. Perceive to Hypothesize, Verify to Ground: An Agentic Reasoning Framework for Open-World Geo-Localization

    Aug 30, 2026Yutian Jiang, Ruijie Li, Sisuo Lyu +4Cross-View Geo-LocalizationGrounding

    The Hong Kong University of Science and Technology (Guangzhou) · The Hong Kong University of Science and Technology

  11. Do LLM Recommenders Know When They're Hallucinating? Auditing Confidence Calibration in Catalog Faithfulness

    Aug 7, 2026Srijith RavikumarCatalogsVisual Hallucinations

    Amazon.com LLC Seattle, Washington, USA

  12. Eliciting Intrinsic Hallucinations in LLMs via Semantically Equivalent Adversarial Attacks

    Aug 4, 2026Atri Vivek Sharma, Brian Formento, Alessio LomuscioLarge Language Model HallucinationAttacker Large Language Model

    Imperial College London · Safe Intelligence

  13. Silent Failures in Multimodal Agentic Search:A Diagnostic Taxonomy and Cross-Judge Evaluation

    Jul 22, 2026Zhengxian Wu, Junjie Gao, Kai YangMultimodal Search AgentsCross-Modal Conflicts

    Ant Group · Hangzhou, China

  14. Reasoning Error from Known Fact: Step-Level Self-Consistency Group Relative Policy Optimization for LLM

    Jul 21, 2026Xiaomeng Hu, Jiaqi Hu, Hao Chen +4Large Language Model HallucinationLLM Reasoning Strategies

    Zhejiang University

  15. Operational Hallucination and Safety Drift in AI Agents

    Jul 20, 2026Shasha Yu, Fiona Carroll, Barry L. BentleyArtificial Intelligence SafetyAgentic Deployments

    Cardiff School of Technologies, Cardiff Metropolitan University Cardiff, UK · Harvard Medical School, Harvard University Boston, USA

  16. Protective Capacity Hallucination: When Large Language Models Claim Nonexistent Capabilities

    Jul 15, 2026Eunna Lee, Jungpyo Nam, Sunjun HwangLarge Language Models FailGenerative Hallucination

    Independent Researcher · Korea Cyber University · Yonsei University

  17. Exact and Calibrated Diffusion Reconstruction for Digital Breast Tomosynthesis

    Jul 14, 2026Imade BouftiniCone-Beam Computed TomographyPositron Emission Tomography

  18. No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs

    Jun 30, 2026Haojian Huang, Harold Haodong Chen, Meng Luo +6Fine-Grained Video UnderstandingVisual Hallucinations

    The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China · Knowin AI, China · National University of Singapore, Singapore +4

  19. E-MRL: Cross-view Aligned Evidence-driven Multimodal Reinforcement Learning for Reliable 3D Tumor Analysis

    Jun 22, 2026Sijing Li, Zhongwei Qiu, Zhuoya Wang +6Medical Vision-Language ModelsMultimodal Clinical Data

    Zhejiang University · DAMO Academy, Alibaba Group · Hupan Lab +3

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

    Jun 22, 2026Weile Guo, Shenghong He, Danying Mo +3Visual Hallucinations

    1Sun Yat-Sen University · 2Shenzhen University

  21. Improving Reasoning in Vision-Language Models via Perception Verified Self-Training

    Jun 20, 2026Sourabh Sharma, Sonam Gupta, SadbhawnaRecent Vision-Language ModelsMultimodal Reasoning

    Malaviya National Institute of Technology Jaipur, India · IBM Software Innovation Lab, India

  22. Per-Entity Bias Mapping for AI Visibility: Why Brand Mentions Require Entity-Specific Calibration

    Jun 19, 2026Zoltan VargaBrand-As-MemoryBiases

    Neural Awareness Budapest, Hungary

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

    Jun 19, 2026Minmin Chen, Daojian Lu, Yining Dai +2Citation Hallucination DetectionVisual Hallucinations

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

  24. LUCID: Learned Undersampling-Adaptive Consistency-Guided Inference with Deterministic Flow Matching for Sparse-View CT Reconstruction

    Jun 15, 2026Jigang Duan, Jiayi Wang, Heran Wang +3Motion Reconstruction BranchConditional Flow Matching

    School of Mathematical Sciences, Capital Normal University, Beijing 100048, China · National Center for Applied Mathematics Beijing, Capital Normal University and Academy for multidisciplinary studies, Capital Normal University, Beijing, 100048, China

  25. Mitigating Visual Hallucinations in Multimodal Systems through Retrieval-Augmented Reliability-Aware Inference

    Jun 14, 2026Pratheswaran Hariharan, Haiping Xu, Donghui YanVisual HallucinationsVisual Evidence

    Computer and Information Science University of Massachusetts, Dartmouth, MA · Mathematics and Data Science University of Massachusetts, Dartmouth, MA

  26. ClinHallu: A Benchmark for Diagnosing Stage-Wise Hallucinations in Medical MLLM Reasoning

    Jun 12, 2026Sicheng Yang, Hangjie Yuan, Wenjun Zhang +5Clinical Reasoning TrainingVisual Hallucinations

    The Hong Kong University of Science and Technology (Guangzhou) · DAMO Academy, Alibaba Group · Hupan Lab +1

  27. Trust but Verify: Mitigating Medical Hallucinations via Post-Hoc Adversarial Auditing and Multi-Agent Feedback Loops

    Jun 12, 2026Muhammad Osama, Maheera Amjad, Zartasha Mustansar +2Large Language Model HallucinationVisual Hallucinations

    Data Science and Machine Learning Lab, SINES, NUST · CEME, NUST

  28. Hallucination-Aware Diffusion Sampling for Inverse Problems via Robust Prior Updates

    Jun 1, 2026Pengfei Jin, Yiqi Tian, Kailong Fan +2Diffusion PriorsBayesian Inverse Problems

    Center for Advanced Medical Computing and Analysis, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114 · Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA 15261

  29. Toxic HallucinAItions: Perturbing Prompts and Tracing LLM Circuits

    May 29, 2026Soorya Ram Shimgekar, Agam Goyal, Amruta Parulekar +6Large Language Model ReliabilityLLM Reasoning Strategies

    University of Illinois Urbana-Champaign · Nimblemind

  30. Human-Alignment, Calibration, and Activation Patterns in Large Language Model Uncertainty

    May 29, 2026Kyle Moore, Jesse Roberts, Daryl Watson +2Large Language Model UncertaintyLarge Language Model Alignment

    1Vanderbilt University · 2Tennessee Technological University

  31. Hallucination Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching

    May 27, 2026Diego Gosmar, Deborah A. DahlHallucination MitigationVisual Hallucinations

    Head of AI, Tesisquare · Member, Open Voice Interoperability Initiative · Linux Foundation AI & Data +4

  32. Evaluating the Relevance of Uncertainty Estimators for LLM Hallucination

    May 26, 2026Yedidia Agnimo, Anna Korba, Annabelle Blangero +2Large Language Model HallucinationLarge Language Model Uncertainty

    Ekimetrics · Centre Inria de l’Université Grenoble Alpes · CREST, ENSAE +1

  33. HalluWorld: A Controlled Benchmark for Hallucination via Reference World Models

    May 19, 2026Emmy Liu, Varun Gangal, Michael Yu +4Visual HallucinationsWorld

    Carnegie Mellon University · All authors are affiliated with DegenAI Labs. · Patronus AI +3

  34. Omni-Persona: Systematic Benchmarking and Improving Omnimodal Personalization

    May 11, 2026Yeongtak Oh, Dongwook Lee, Sangkwon Park +2Multimodal BenchmarksPersonalization

    Department of Electrical and Computer Engineering, Seoul National University · Interdisciplinary Program in Artificial Intelligence, Seoul National University · Department of Artificial Intelligence, University of Seoul

  35. Local Intrinsic Dimension Unveils Hallucinations in Diffusion Models

    May 6, 2026Bartlomiej Sobieski, Matthew Tivnan, Dawid Płudowski +4Diffusion ModelsVisual Hallucinations

    Centre for Credible AI, Warsaw University of Technology · University of Warsaw · Massachusetts General Hospital +1

  36. 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 MajeedCitation Hallucination DetectionVisual Hallucinations

    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

  37. From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data

    Apr 29, 2026Md. Rejaul Korim Sadi, Toufiqur Rahman Tasin, Golam Mostofa NaeemLarge Language Model HallucinationLarge Language Models Fail

    *Dept. of Computer Science and Engineering, Metropolitan University, Sylhet, Bangladesh

  38. Delineating Knowledge Boundaries for Honest Large Vision-Language Models

    Apr 29, 2026Junru Song, Yimeng Hu, Yijing Chen +4Recent Vision-Language ModelsLarge Language Model Hallucination

    Shandong University

  39. Do MLLMs Understand Pointing? Benchmarking and Enhancing Referential Reasoning in Egocentric Vision

    Apr 23, 2026Chentao Li, Zirui Gao, Mingze Gao +3Egocentric VisionMultimodal Large Language Models

    Department of Automation, Tsinghua University · Academy of Art & Design, Tsinghua University

  40. Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation

    Apr 22, 2026Xingyu Zhu, Junfeng Fang, Shuo Wang +4Hallucination MitigationRecent Vision-Language Models

    MoE Key Lab of BIPC, University of Science and Technology of China · National University of Singapore

  41. Where Fake Citations Are Made: Tracing Field-Level Hallucination to Specific Neurons in LLMs

    Apr 20, 2026Yuefei Chen, Yihao Quan, Xiaodong Lin +1Citation HallucinationVisual Hallucinations

    Rutgers University

  42. When Text Hijacks Vision: Benchmarking and Mitigating Text Overlay-Induced Hallucination in Vision Language Models

    Apr 19, 2026Cui Yakun, Xingqun Qi, TianTian Geng +3Large Language Model HallucinationVisual Hallucinations

    The Hong Kong University of Science and Technology · Hong Kong, China · University of Birmingham

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

    Apr 18, 2026JiYang Wang, Jiawei Chen, Mengqi Xiao +3Object HallucinationVisual Hallucinations

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

  44. Why Fine-Tuning Encourages Hallucinations and How to Fix It

    Apr 16, 2026Guy Kaplan, Zorik Gekhman, Zhen Zhu +5Large Language Model HallucinationVisual Hallucinations

    ♡Hebrew University of Jerusalem · ♣Technion – Israel Institute of Technology · ♢University of Illinois Urbana-Champaign +1

  45. A Progressive Training Strategy for Embodied Vision-Language Models to Mitigate Spatio-Temporal Hallucinations

    Apr 12, 2026Xiaoda Yang, Shuai Yang, Can Wang +9Recent Vision-Language ModelsSpatio-Temporal Reasoning

    The Hong Kong University of Science and Technology · The Chinese University of Hong Kong