Hallucinations

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Period ending 2026-09-21

13 new papers

A weekly snapshot of new work published in Hallucinations.

Period ending 2026-09-14

10 new papers

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Period ending 2026-09-07

11 new papers

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  1. LegalHalluLens: Typed Hallucination Auditing and Calibrated Multi-Agent Debate for Trustworthy Legal AI

    Jun 16, 2026Lalit Yadav, Akshaj GurugubelliLegal DomainAlgorithm Auditing

  2. FinAcumen: Financial Multimodal Reasoning via Self-Evolving Experience Memory Harness

    Jun 16, 2026Pianran Guo, Pengcheng Zhou, Yucheng Jian +3Finance DomainMultimodal Reasoning

  3. MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation Evaluation

    Jun 16, 2026Zehang Wei, Jiaxin Dai, Jiamin Yan +1Multi-Source Retrieval-Augmented GenerationLarge Language Model Hallucination

  4. Visuals Lie, Consistency Speaks: Disentangling Spatial Attention from Reliability in Vision-Language Models

    Jun 16, 2026Logan Mann, Yi Xia, Ajit Saravanan +6Vision-LanguageVisual Perception

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

    Jun 15, 2026Jian Xu, Delu Zeng, John Paisley +1Large Vision Language ModelsVisual Evidence

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

    Jun 15, 2026Jigang Duan, Jiayi Wang, Heran Wang +3Conditional Flow MatchingHallucinations

  7. Bridging the Usability Gap: Lessons from Interpreting Studies for Machine Interpreting Design

    Jun 14, 2026Claudio FantinuoliUsabilityIllusions

  8. BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation

    Jun 14, 2026Ning Li, Zixuan Guo, Yan Xu +7Large Language Model HallucinationHallucination Mitigation

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

    Jun 14, 2026Pratheswaran Hariharan, Haiping Xu, Donghui YanMultimodal LearningHallucinations

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

    Jun 12, 2026Sicheng Yang, Hangjie Yuan, Wenjun Zhang +5Clinical ReasoningHallucinations

  11. 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 HallucinationLarge Language Model Safety

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

    Jun 11, 2026Mariia Onyshchuk, Maksym-Vasyl Tarnavskyi, Marta SumykHallucination DetectionSummarization

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

    Jun 11, 2026Omar Alshahrani, Muzammil BehzadHallucinationsMedical Imaging

  14. NTS-CoT: Mitigating Hallucinations in LLM-based News Timeline Summarization with Chain-of-Thought Reasoning

    Jun 11, 2026Feng Lyu, Huiqin Yan, Sijing Duan +5SummarizationLarge Language Model Hallucination

  15. The Illusion of Multi-Agent Advantage

    Jun 11, 2026Prathyusha Jwalapuram, Hehai Lin, Chuyuan Li +7Multi-Agent SystemsTable Reasoning Datasets

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

    Jun 11, 2026Jiahao Yang, Shuhai Zhang, Hailong Kang +3Large Language Model HallucinationHallucination Detection

  17. SafeLLM: Extraction as a Hallucination-Resistant Alternative to Rewriting in Safety-Critical Settings

    Jun 11, 2026Julia Ive, Felix Jozsa, Evridiki Georgaki +6Large Language Model SafetyLarge Language Model Hallucination

  18. MultiToP: Learning to Patch Visual Tokens to Mitigate Hallucinations in Video Large Multimodal Models

    Jun 10, 2026Yuansheng Gao, Wenbin Xing, Jiahao Yuan +4Video Multimodal Large Language ModelsVisual Tokens

  19. Quickest Detection of Hallucination Onset: Delay Bounds and Learned CUSUM Statistics

    Jun 10, 2026Igor ItkinHallucination DetectionHallucinations

  20. PhantomBench: Benchmarking the Non-existential Threat of Language Models

    Jun 9, 2026Haeji Jung, Hila GonenHallucination RateDark Knowledge

  21. Generating in the Limit with Infinitely Many Hallucinations

    Jun 8, 2026Irene Strauss, Alexandra Butoi, Ryan CotterellInfinite-Width Gaussian LimitRetrieval Recall

  22. Disentangling Hallucinations: Orthogonal Semantic Projection for Robust Interpretability

    Jun 8, 2026Emirhan Bilgiç, Baptiste Caramiaux, Zhi Yan +1Hallucination RateExplainable Artificial Intelligence

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

    Jun 7, 2026Abhivansh Gupta, Simardeep Singh, Advika Sinha +2HallucinationsCounterfactual Reasoning

  24. Analyzing the Correlation Between Hallucinations and Knowledge Conflicts in Large Language Models

    Jun 7, 2026Lucrezia Laraspata, Giovanna Castellano, Gennaro VessioLarge Language Model HallucinationHallucinations

  25. The Consistency Illusion: How Multi-Agent Debate Hides Reasoning Misalignment

    Jun 7, 2026Xiaoyang Wang, Christopher C. YangMulti-Agent DebateDebate

  26. Constrained Paraphrase Consistency for LLM Hallucination Detection

    Jun 6, 2026Shanshan Lin, Dongsheng Hong, Sibo Ju +3Large Language Model HallucinationRobust Hallucination Detection

  27. Cross Paraphrastic Invariance Learning for Hallucination Detection

    Jun 6, 2026Shanshan Lin, Dongsheng Hong, Sibo Ju +3Large Language Model HallucinationHallucination Detection

  28. MechLens: Late Crystallization of Factual Knowledge Explains Intervention Effectiveness in Language Models

    Jun 6, 2026Xueping GaoFactual RecallHallucination Mitigation

  29. ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors?

    Jun 6, 2026Bin Zhu, Yanhao Jia, Kexin Zhao +12Multimodal ReasoningHallucination Rate

  30. Whisper Hallucination Detection and Mitigation via Hidden Representation Steering and Sparse AutoEncoders

    Jun 5, 2026Georgii Aparin, Vadim Popov, Tasnima Sadekova +1Hallucinations

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

    Jun 5, 2026Xinyi Li, Zhen Fang, Yongxin Deng +12Hallucination DetectionLarge Language Model Evaluation

  32. Evidence Graph Consistency in Retrieval-Augmented Generation: A Model-Dependent Analysis of Hallucination Detection

    Jun 4, 2026Jianru ShenHallucination DetectionHallucinations

  33. The Self-Correction Illusion: LLMs Correct Others but Not Themselves

    Jun 4, 2026Kuan-Yen Chen, Fang-Yi Su, Jung-Hsien ChiangIterative Self-CorrectionIllusions

  34. Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)

    Jun 4, 2026Christopher J. Wedge, Joshua Stutter, Danny Dixon +1Multi-Hop Question Answering BenchmarksHallucination Mitigation

  35. Hybrid Adversarial Defence for Natural Language Understanding Tasks

    Jun 3, 2026Manar Abouzaid, Yang Wang, Chenghua Lin +1Language Model Evasion AttacksDefense Strategies

  36. Cascading Hallucination in Agentic RAG: The CHARM Framework for Detection and Mitigation

    Jun 3, 2026Saroj MishraRetrieval-Augmented Generation SystemsHallucinations

  37. Noisy memory encoding explains negative polarity illusions

    Jun 3, 2026Yuhan Zhang, Edward GibsonNegationSurprisal

  38. Conformal Language Modeling via Posterior Sampling

    Jun 2, 2026Nicolas Emmenegger, Theo X. Olausson, Armando Solar-Lezama +1Large Language Model GenerationLarge Language Model Post-Training

  39. Building Reliable Long-Form Generation via Hallucination Rejection Sampling

    Jun 2, 2026Lin Li, Georgia Channing, Suhaas M Bhat +2Large Language Model HallucinationLong-Form Generation

  40. P2^2-DPO: Grounding Hallucination in Perceptual Processing via Calibration Direct Preference Optimization

    Jun 2, 2026Ruipeng Zhang, Zhihao Li, Haozhang Yuan +2Large Vision Language ModelsPerceptual Understanding

  41. Steer Where It Matters: Token-Level Visual-Sensitivity Steering for LVLMs Hallucination Mitigation

    Jun 2, 2026Ruipeng Zhang, Zhihao Li, C. L. Philip Chen +1Large Language Model HallucinationLarge Vision Language Models

  42. Synthetic Hallucinations, Real Gains: Hard Negatives from Frontier Models for FIM Hallucination Mitigation

    Jun 2, 2026Mahdi Erfanian, Nelson Daniel Troncoso, Aashna Garg +4Large Language Model HallucinationCode Completion

  43. Hallucinations as Orthogonal Noise: Inference-Time Manifold Alignment via Dynamic Contextual Orthogonalization

    Jun 2, 2026Mingkuan Zhao, Wentao Hu, Tianchen Huang +6Large Language Model HallucinationHallucination Mitigation

  44. A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination

    Jun 1, 2026Shrishti Saha Shetu, Emanuël A. P. Habets, Andreas BrendelSpeech EnhancementSignal-To-Noise Ratio

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

    Jun 1, 2026Pengfei Jin, Yiqi Tian, Kailong Fan +2Diffusion PriorsIll-Posed Inverse Problem

  46. Measurement Geometry and Design for Trustworthy Generative Inverse Problems

    Jun 1, 2026Pengfei Jin, Na Li, Quanzheng LiIll-Posed Inverse ProblemInverse Problem

  47. DECK: A Consistency x Confidence Taxonomy of LLM Hallucinations

    Jun 1, 2026Mohit Singh ChauhanLarge Language Model UncertaintyLarge Language Model Hallucination

  48. Resonant Context Anchoring: Decoupling Attention Routing and Signal Gain at Inference Time

    Jun 1, 2026Mingkuan Zhao, Yide Gao, Wentao Hu +6LLM Inference EfficiencyMemory-Augmented Large Language Models

  49. Med-HEAL: Analyzing and Mitigating Hallucinations in Medical LLMs with Hallucination-Aware In-Context Learning

    May 31, 2026Yiming Liao, Zeno Franco, Jose Eduardo Lizarraga Mazaba +1Large Language Model HallucinationHallucination Mitigation

  50. SVHalluc: Benchmarking Speech-Vision Hallucination in Audio-Visual Large Language Models

    May 31, 2026Chenshuang Zhang, Kyeong Seon Kim, Chengxin Liu +1HallucinationsLarge Audio Language Models

  51. Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding

    May 31, 2026Yingxuan Zhuang, Jingxiao Yang, Miao Pan +7Large Language Model HallucinationHallucination Mitigation

  52. Ask4VG: Risk-Aware Question Selection for Reducing Prior-Driven Answers in Medical VQA

    May 31, 2026Xiaorong Zhu, Qiang Li, Zibo Xu +2Medical Visual Question AnsweringHallucinations

  53. TriLens: Per-Layer Logit-Lens Entropy for White-Box Hallucination Detection

    May 31, 2026Bohan Yang, Yijun Gong, Zhi Zhang +3Hallucination DetectionLens

  54. Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models

    May 30, 2026S M Tahmid Siddiqui, Akib Jawad Ononto, Anoop Singhal +1Large Language Model HallucinationLarge Language Model Reliability

  55. Citation Grounding: Detecting and Reducing LLM Citation Hallucinations via Legal Citation Graphs

    May 30, 2026Volodymyr OvcharovCitationsHallucinations

  56. Mitigating Hallucinations in Large Language Models Via Decoder Layer Skipping

    May 30, 2026Hanze Li, Jinhao You, Yichen Guo +3Large Language Model HallucinationHallucination Mitigation

  57. Score ×\times Decoder: A Unified View of Unsupervised Inference-Time Scaling for Hallucination Mitigation

    May 30, 2026Yun-Chen Cheng, Che-Yu Lin, Cheng-Lin YangLarge Language Model HallucinationInference-Time

  58. MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-Turn Dialogue

    May 30, 2026Yue Jiang, Xue Jiang, Lihua Zhang +6Large Language Model HallucinationMulti-Turn Conversations

  59. Hallucination Is Linearly Decodable from Mid-Layer Hidden States in Quantized LLMs

    May 30, 2026Aizierjiang AiersilanHidden StatesLarge Language Model Quantization

  60. Score-Control for Hallucination Reduction in Diffusion Models

    May 29, 2026Mahesh Bhosale, Naresh Kumar Devulapally, Abdul Wasi +3Score-Based Diffusion ModelLarge Language Model Hallucination