Hallucination in Language Models

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Aligning with Your Own Voice: Self-Corrected Preference Learning for Hallucination Mitigation in LVLMs
Apr 27, 2026Byeonggeuk Lim, JungMin Yun, Junehyoung Kwon +2Vision-Language Models Hallucination in Language Models
Graduate School of Advanced Imaging Sciences, Multimedia and Film, Chung-Ang University · Department of Artificial Intelligence, Chung-Ang University
Detecting Hallucinations for Large Language Model-based Knowledge Graph Reasoning
Apr 27, 2026Xinyan Zhu, Yaoqi Liu, Yue Gao +3LLM Reasoning with Graphs Hallucination in Language Models
Beijing University of Posts and Telecommunications · Tsinghua University
Exploring Audio Hallucination in Egocentric Video Understanding
Apr 26, 2026Ashish Seth, Xinhao Mei, Changsheng Zhao +9Audio-Visual Understanding Hallucination in Language Models
Meta · University Of Maryland, College Park
Expert Evaluation of LLM's Open-Ended Legal Reasoning on the Japanese Bar Exam Writing Task
Apr 26, 2026Jungmin Choi, Keisuke Sakaguchi, Hiroaki YamadaLLM Evaluation Hallucination in Language Models
RIKEN · Tohoku University · Tokyo Metropolitan University
When Prompts Override Vision: Prompt-Induced Hallucinations in LVLMs
Apr 23, 2026Pegah Khayatan, Jayneel Parekh, Arnaud Dapogny +3VLM Evaluation LLM Hallucination Mitigation
1ISIR, Sorbonne Universit´e, Paris, France · 2Valeo.ai, Paris, France
R-CoV: Region-Aware Chain-of-Verification for Alleviating Object Hallucinations in LVLMs
Apr 22, 2026Jiahao Xie, Alessio Tonioni, Nathalie Rauschmayr +2Hallucination Detection in VLMs Vision-Language Models
Max Planck Institute for Informatics, SIC · VIA Research Center · Google
Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding
Apr 22, 2026Yubo Jiang, Yitong An, Xin Yang +7Vision-Language Models Hallucination in Language Models
School of Astronautics, Beihang University, Beijing 102206, China · Longcat Interaction Team, Meituan, Beijing 100102, China · Tianmushan Laboratory, Beihang University, Hangzhou 311115, China
Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation
Apr 22, 2026Xingyu Zhu, Junfeng Fang, Shuo Wang +4Vision-Language Models VLM Adaptation
MoE Key Lab of BIPC, University of Science and Technology of China · National University of Singapore
Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps
Apr 21, 2026Jonas Waldendorf, Bashar Awwad Shiekh Hasan, Evgenii TsymbalovAudio-Language Model Hallucination Detection Hallucination Detection
University of Edinburgh · Amazon AGI
HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models
Apr 21, 2026Feiyu Zhao, Yiming Chen, Wenhuan Lu +3Audio-Language Model Evaluation Audio-Language Model Hallucination Detection
College of Intelligence and Computing, Tianjin University, China · ASUS Intelligent Cloud Services, Singapore
Where Fake Citations Are Made: Tracing Field-Level Hallucination to Specific Neurons in LLMs
Apr 20, 2026Yuefei Chen, Yihao Quan, Xiaodong Lin +1LLM Hallucination Mitigation Hallucination in Language Models
Rutgers University
BEACON: Behavioral Entropy Aggregation for Cross-Model Hallucination Detection in Large Language Models
Apr 20, 2026Naveen Bera, Pulijala Sai Nikhila, Kondaguduru Abhiram +6LLM Evaluation Hallucination Detection
LLM Lens
Mitigating Multimodal Hallucination via Phase-wise Self-reward
Apr 20, 2026Yu Zhang, Chuyang Sun, Kehai Chen +3Vision-Language Models Hallucination in Language Models
Harbin Institute of Technology · Peng Cheng Laboratory · Shenzhen, China
HalluClear: Diagnosing, Evaluating and Mitigating Hallucinations in GUI Agents
Apr 19, 2026Chao Jin, Wenkui Yang, Hao Sun +6GUI Agents Hallucination in Language Models
MAIS&NLPR, Institute of Automation, Chinese Academy of Sciences
PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations
Apr 18, 2026Yuhe Wu, Guangyu Wang, Yuran Chen +6LLM Evaluation Hallucination in Language Models
HKUST(GZ) · NYUSH · DUFE +2
RAGognizer: Hallucination-Aware Fine-Tuning via Detection Head Integration
Apr 17, 2026Fabian Ridder, Laurin Lessel, Malte SchillingRetrieval-Augmented Generation LLM Hallucination Mitigation
Computer Science Department, University of Münster, Münster, Germany
Learning Uncertainty from Sequential Internal Dispersion in Large Language Models
Apr 17, 2026Ponhvoan Srey, Xiaobao Wu, Cong-Duy Nguyen +1Hallucination in Language Models LLM Hallucination Detection
Nanyang Technological University · Shanghai Jiao Tong University · Centre for AI Research, VinUniversity
Why Fine-Tuning Encourages Hallucinations and How to Fix It
Apr 16, 2026Guy Kaplan, Zorik Gekhman, Zhen Zhu +5Supervised Fine-Tuning Continual Learning for LLMs
♡Hebrew University of Jerusalem · ♣Technion – Israel Institute of Technology · ♢University of Illinois Urbana-Champaign +1
Hallucination as Trajectory Commitment: Causal Evidence for Asymmetric Attractor Dynamics in Transformer Generation
Apr 16, 2026G. Aytug AkarlarTransformer Interpretability Hallucination in Language Models
Chimera Research Initiative Istanbul, Türkiye · Chimera Research Initiative is an independent research effort exploring causal and neuro-symbolic approaches to AI systems.
Revealing Multi-View Hallucination in Large Vision-Language Models
Mar 25, 2026Wooje Park, Insu Lee, Soohyun Kim +4Visual Question Answering Hallucination in Language Models
Seoul National University · Sungkyunkwan University
Probing for Knowledge Attribution in Large Language Models
Feb 26, 2026Ivo Brink, Alexander Boer, Dennis UlmerLLM Interpretability Hallucination in Language Models
KPMG NL / University of Amsterdam Amsterdam, The Netherlands · KPMG NL Amsterdam, The Netherlands · University of Amsterdam Amsterdam, The Netherlands
Fine-Grained Uncertainty Quantification for Long-Form Language Model Outputs: A Comparative Study
Feb 19, 2026Dylan Bouchard, Mohit Singh Chauhan, Viren Bajaj +1LLM Hallucination Mitigation Hallucination in Language Models
CVS Health, Wellesley, MA
Do Web Agents Investigate Before They Decide?
Feb 5, 2026Syed Nazmus Sakib, Nafiul Haque, Tapodhir Karmakar Taton +2Web Agent Benchmarks Hallucination in Language Models
Department of Robotics and Mechatronics Engineering, University of Dhaka · Department of Computer Science and Engineering, University of Dhaka
HALT: Hallucination Assessment via Log-probs as Time series
Feb 2, 2026Ahmad Shapiro, Karan Taneja, Ashok GoelLanguage Model Error Detection Hallucination Detection
Georgia Institute of Technology · Microsoft
Relational Linearity is a Predictor of Hallucinations
Jan 16, 2026Yuetian Lu, Yihong Liu, Sebastian Gerstner +3LLM Interpretability Hallucination in Language Models
Center for Information and Language Processing (CIS), LMU Munich · Ubiquitous Knowledge Processing Lab (UKP Lab), Technical University of Darmstadt · Munich Center for Machine Learning (MCML)
Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs
Jan 5, 2026Amirali Ebrahimzadeh, Seyyed M. SaliliLong-Context Retrieval LLM Hallucination Mitigation
Department of Electrical Engineering & Computer Science, University of Michigan, Ann Arbor, MI 48109, USA · Independent Researcher, Ann Arbor, MI 48106, USA
Mitigating Hallucination in Large Language Models: A Capability-Oriented Survey on RAG, Reasoning, and Agentic Systems
Oct 28, 2025Yihan Li, Xiyuan Fu, Ghanshyam Verma +2Retrieval-Augmented Generation LLM Hallucination Mitigation
Electronic Information School, Wuhan University, Wuhan, China · School of Computing, Dublin City University, Dublin, Ireland · School of Public Health, Wuhan University, Wuhan, China +2
Silence is Golden: Mitigating Hallucinations in Large Audio-Language Models via Layer-Weighted Vector Steering
Oct 14, 2025Tsung-En Lin, Kuan-Yi Lee, Hung-Yi LeeAudio QA Hallucination in Language Models
National Taiwan University, Taipei, Taiwan · ASUS Open Cloud Infrastructure Software Center, Taipei, Taiwan
Geometric Uncertainty for Detecting and Correcting Hallucinations in LLMs
Sep 17, 2025Edward Phillips, Sean Wu, Soheila Molaei +3Uncertainty Quantification LLM Hallucination Mitigation
Department of Engineering Science, University of Oxford · GlaxoSmithKline · Oxford Suzhou Centre for Advanced Research
SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision
Aug 5, 2025Zhaoxu Li, Chenqi Kong, Yi Yu +6VLM Evaluation LLM Hallucination Mitigation
ROSE Lab, Interdisciplinary Graduate Programme, Nanyang Technological University, Singapore · ROSE Lab, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore · City University of Hong Kong, Hong Kong SAR +3

Apr 27, 2026, cs.AIJ/K move · Enter open · S save

Aligning with Your Own Voice: Self-Corrected Preference Learning for Hallucination Mitigation in LVLMs

Byeonggeuk Lim, JungMin Yun, Junehyoung Kwon, Kyeonghyun Kim+1

Graduate School of Advanced Imaging Sciences, Multimedia and Film, Chung-Ang University · Department of Artificial Intelligence, Chung-Ang University

Vision-Language Models Hallucination in Language Models VLM Hallucination VLM Hallucination Mitigation

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Large Vision-Language Models (LVLMs) frequently suffer from hallucinations. Existing preference learning-based approaches largely rely on proprietary models to construct preference datasets. We identify that this reliance introduces a distributional mismatch between the proprietary and target models that hinders efficient alignment. To address this, we propose Alignment via VErified Self-correction DPO (AVES-DPO), a framework that aligns LVLMs using in-distribution data derived from the model's intrinsic knowledge. Our approach employs a consensus-based verification mechanism to diagnose diverse hallucinations and guides the model to self-correct, thereby generating preference pairs strictly compatible with its internal distribution. Extensive experiments demonstrate that AVES-DPO surpasses existing baselines in hallucination mitigation while requiring only 5.2k samples.

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