Hallucination Detection

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Period ending 2026-09-14

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A weekly snapshot of new work published in Hallucination Detection.

Period ending 2026-09-07

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A weekly snapshot of new work published in Hallucination Detection.

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

    Sep 16, 2026Shardul P. More, Tanuja S. PawarLarge Language Model Hallucination

  2. SAVOR: Self-Aware Visual Grounding via Confidence-Calibrated Reinforcement Learning for Multimodal Hallucination Mitigation

    Sep 15, 2026Zixiu Ding, Zilin Zhao, Yingjie He +3Large Language Model Hallucination

  3. Look Before You Leap: Factual Decoding with Internal Attribution Signals

    Sep 14, 2026Hayeong Ryu, JungMin Yun, Byeonggeuk Lim +2Large Language Model Hallucination

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

    Sep 14, 2026Xuhan Tong, Jiawei ZhangLarge Language Model HallucinationLarge Language Models Fail

  5. Domain-Specific Hallucination Detection in Large Language Models

    Sep 12, 2026Varun Teja Chundru, Debasmita BiswasHallucination Detection FrameworkMachine-Generated Text Detection

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

    Sep 12, 2026Syed Mohaiminul Hoque, Md Sakhawat HossainHallucination Detection FrameworkLarge Multimodal Models

  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 DetectionLarge Multimodal Models

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

    Sep 9, 2026Eli SchwartzLarge Language Model HallucinationOptical Character Recognition

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

    Sep 9, 2026Xinyu Chen, Adnan Mahmood, Mark DrasHallucination Detection FrameworkVideo-Language Models

  10. CT-SAFR: Safe and Interpretable Chain-of-Thought Reasoning for Autonomous Robots: A Multi-Layered Verification Framework for Trustworthy AI-Driven Robotic Decision Making

    Sep 9, 2026Cagri TemelAgentic ReasoningChain-Of-Thought

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

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

  12. CodeTD: Topology of Attention Detects Hallucinations in Code LLMs

    Sep 7, 2026Daria Voronkova, Ilya Trofimov, Anton Dmitriev +3AI Code GenerationCorrectness

  13. Reducing Hallucinated Transcripts in Whisper via Hallucination Space Projection

    Sep 7, 2026Maryam Abbasihafshejani, Murtuza JadliwalaMitigating HallucinationsProjection

  14. When Financial Fine-tuning Fails: A Three-Level Detectability Analysis of Numerical Hallucination in Domain-Adapted Language Models

    Sep 7, 2026Xiaodong Li, Peiwei LiuLarge Language Model HallucinationVisual Hallucinations

  15. Beyond Majority Vote: Multi-Perspective Adjudication for Medical Hallucination Detection

    Sep 3, 2026Joe Cecil, Marjorie FreedmanHallucination DetectionHuman Annotators

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

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

  17. 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 FrameworkRecent Vision-Language Models

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

    Sep 1, 2026Mehrdad Fazli, Sina Mansouri, Mohit Marvania +1Large Language Model HallucinationDetecting Hallucinations

  19. CHARM: Character Hallucination for Multicultural Role Play Benchmark

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

  20. The Privacy-Hallucination Tradeoff in Differentially Private Language Models

    Aug 31, 2026Krithika Ramesh, Krishna Pillutla, Danish Pruthi +1Large Language Model HallucinationDifferential Privacy

  21. Beyond Language Priors: Diagnosing and Fixing Visual-Origin Hallucinations in Multimodal LLM

    Aug 31, 2026Peiyang Xu, Xiaopei Zhu, Jun Zhu +1Large Language Model HallucinationVisual Hallucinations

  22. Distributed Implicit Harm: A Compositional Safety Blind Spot in MLLM-Based Video Moderation

    Aug 31, 2026Ruotong Wang, Zihao Zhu, Siwei Lyu +2Large Language Model SafetyLarge Language Model Hallucination

  23. Stick to What You Know: A Study of Knowledge-Aligned Supervised Fine-Tuning

    Aug 31, 2026Arthur Becker, Jakob Kemmler, David Thulke +3Supervised Fine-TuningLarge Language Model Hallucination

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

    Aug 31, 2026Afsaneh Hasanebrahimi, Hanxun Huang, Christopher Leckie +1Hallucination DetectionVisual Evidence

  25. Partition-Aware Unlearning for Removing Spurious Correlations in Large Vision-Language Models

    Aug 30, 2026Aditi Sarker, Nazreen Shah, Rafi Ibn Sultan +3Recent Vision-Language ModelsLarge Language Model Hallucination

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

    Aug 30, 2026Amanuel Gizachew Abebe, Yasmin MoslemRecent Vision-Language ModelsDetecting Hallucinations

  27. Compression-Aware Abstention: Teaching LLMs to Refuse When KV-Compression Masks Remove Answer Evidence

    Aug 30, 2026Mohammadali Khodabandehlou, Bhaskar KrishnamachariLarge Language Model CompressionLLM Inference Efficiency

  28. Hallucination Mitigation for Large Vision-Language Models via Implicit Feature Stabilization

    Aug 30, 2026Aditi Sarker, Rafi Ibn Sultan, Hui Zhu +2Large Language Model Hallucination

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

    Aug 30, 2026Yutian Jiang, Ruijie Li, Sisuo Lyu +4Geo-LocalizationVisual Grounding

  30. 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

  31. Dual-Stream Cross-Anchor Correction Grounding Long-Form Captions and the Domain Limits of Object-Level Anchors

    Aug 13, 2026LingKai BuVisual HallucinationsCo-Occurrence

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

    Aug 12, 2026Beomsik Cho, Jinhyeong Kim, Dongseok Lee +1Vision-Language ReasoningVisual Context

  33. Test-Time Hallucination Control in Large Vision-Language Models

    Aug 11, 2026Mehran Tamjidi, Hamidreza Dastmalchi, Ali Cheraghian +3Large Language Model HallucinationRecent Vision-Language Models

  34. Whisper-Aware LLM: Self-Supervised Uncertainty Learning for Robust Whispered Speech Recognition

    Aug 11, 2026Gaopeng Xu, Zhenyu Wang, Zheng Xue +2Whisper-Large-V3Automatic Speech Recognition

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

    Aug 11, 2026Dvir Samuel, Guy Bar-Shalom, Fabrizio Frasca +4Large Language Model HallucinationHallucination Detection

  36. Actionable Hallucination Detection: Translating Latent Uncertainty into Agentic Critique

    Aug 11, 2026Sanidhya Vijayvargiya, Rahul LokeshHallucination DetectionLarge Language Model Uncertainty

  37. FACT: Failure-Aware Causal Training for World-Action Models

    Aug 10, 2026Quanquan Peng, Yutong Liang, Rui Yan +2Action-Conditioned World ModelingAction Generation

  38. Beyond Global Editing: Per-Instance Disentangled Subspaces for Training-Free Hallucination Mitigation in LVLMs

    Aug 10, 2026Ali Cheraghian, Hamidreza Dastmalchi, Hamed Barzamini +4Large Language Model HallucinationGlobal Editing

  39. A Grounded and Decomposed Framework for Relation-Level Hallucination Evaluation in Abstractive Summarization

    Aug 8, 2026Praveen Kumar Katwe, Rakesh Chandra Balabantaray, Kali Prasad Vittala +1Hallucination Detection FrameworkSummarization

  40. Wiener Representation Filtering for VLM Hallucination Suppression

    Aug 8, 2026Ameen Ali, Tamim Zoabi, Lidor Brami +1Large Language Model HallucinationHallucination-Prone Thinking

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

    Aug 8, 2026Zakhar Mrykhin, Valentin MalykhLarge Language Model HallucinationHallucination Detection

  42. REIN: Bridging the Gap between Reasoning and Reliability via Reflection and Abstention Alignment

    Aug 8, 2026Zhengze Huang, Luyang Yu, Di Hong +5Large Reasoning ModelsLarge Language Model Hallucination

  43. 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 +4Large Language Model HallucinationVisual Reasoning

  44. Decomposed Entailment for Factuality Checking and Hallucination Detection

    Aug 6, 2026Achir Oukelmoun, Nasredine Semmar, Gaël De ChalendarHallucination DetectionMultimodal Fact-Checking

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

    Aug 6, 2026Yanqi Wu, Runhe Lai, Xinhua Lu +5Large Language Model HallucinationHallucination Detection

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

    Aug 4, 2026Atri Vivek Sharma, Brian Formento, Alessio LomuscioLarge Language Model HallucinationLanguage Model Evasion Attacks

  47. 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

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

    Aug 4, 2026Amir Mohammad Ezzati, Kiyan Rezaee, Bardiya Kariminia +4Visual HallucinationsLarge Language Model Uncertainty

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

    Aug 4, 2026Khaled ZianiHallucination DetectionDetecting Hallucinations

  50. 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 +10Detecting HallucinationsHuman-Written Text

  51. Experience-Calibrated Contrastive Decoding for Mitigating Hallucinations in LM-Based Text-to-Speech

    Aug 1, 2026Chenlin Liu, Minghui Fang, Zhonghao Bi +3Contrastive DecodingText-To-Speech

  52. Tracing the Cascade: A Topology-Aware Evaluation Framework for Scientific Agent Hallucinations

    Aug 1, 2026Xinshun Feng, Ziqi Miao, Lijun Li +1Hallucination ProblemScientific Discovery

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

    Jul 31, 2026Mingyu Wang, Weilin Jin, Wenbo Li +5Large Language Model HallucinationHallucination-Prone Thinking

  54. When Model Priors Conflict with Visual Evidence: Mitigating Commonsense-Driven Hallucinations by Selective Prior Calibration

    Jul 31, 2026Kesheng Chen, Yamin Hu, Wenjian LuoVisual HallucinationsPriors

  55. Evaluation-Verification Reward for Consistent Multi-Reference Image Editing

    Jul 31, 2026Yingmao Miao, Pengfei Zhang, Xiaochen Lv +5Image EditingHigh-Performance Image Generation Models

  56. ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts

    Jul 31, 2026Mingxin Wang, Bin Hu, Bin Qian +12Faster-WamWorld Models

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

    Jul 28, 2026Tiecheng Cai, Zexian Yang, Chao Chen +2Dense Video CaptioningDetecting Hallucinations

  58. PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models

    Jul 27, 2026Zichao Lin, Yifeng Xie, Bowen Qu +30Perceptual TasksVisual Perception

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

    Jul 27, 2026Bianca Raimondi, Davide Evangelista, Maurizio Gabbrielli +1Hallucination DetectionHidden States

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

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