LLM Hallucination Mitigation

LLM: Large Language Model

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9 papers in the last four weeks, up 29% on the four weeks before. 0.1% of all new papers.

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Rethinking Visual Neglect: Steering via Context-Preference for MLLM Hallucination Mitigation
May 27, 2026Jingwen Wu, Xijun Zhang, Ge SongLLM Hallucination Mitigation Hallucination in Language Models
School of Computer and Electronic Information, Nanjing Normal University, China
Chain-based Adaptive Reconfiguration Over Lattices for Hallucination Reduction
May 26, 2026Joan Vendrell Gallart, Solmaz Kia, Russell Bent +1LLM Hallucination Mitigation Hallucination in Language Models
Department of Mechanical and Aerospace University of California Irvine Irvine, CA 92617-4322, USA · T-5 Los Alamos National Laboratory Los Alamos, NM 88220, USA · CAI-4 Los Alamos National Laboratory Los Alamos, NM 88220, USA
Can Hallucinations Be Useful? Solving Multi-Hop Questions With SLMs By Chaining System-I/II Reasoning
May 26, 2026Saptarshi Sengupta, Suhang WangMulti-Hop QA LLM Hallucination Mitigation
The Pennsylvania State University
MiRD: Reliable Set-Valued Prediction for Open-Ended Question Answering via Miscoverage Risk Decomposition
May 25, 2026Anqi Hu, Zhiyuan Wang, Zijun Jia +1LLM Hallucination Mitigation Set Prediction
University of Electronic Science and Technology of China · Beihang University
APT-Agent: Automated Penetration Testing using Large Language Models
May 24, 2026William Guanting Li, Alsharif Abuadbba, Kristen Moore +1LLM Hallucination Mitigation Automated Penetration Testing
University of Queensland · University of Queensland Brisbane, Australia · CSIRO Data61 +2
Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory
May 23, 2026Quanjiang Li, Zhiming Liu, Wei Luo +2LLM Hallucination Mitigation Hallucination in Language Models
National University of Defense Technology, China · Harbin Institute of Technology (Shenzhen), China · Xi’an Jiaotong University, China.
ACL-Verbatim: hallucination-free question answering for research
May 20, 2026Gábor Recski, Szilveszter Tóth, Nadia Verdha +2Retrieval-Augmented Generation LLM Hallucination Mitigation
TU Wien · KR Labs
TRACE: Trajectory Correction from Cross-layer Evidence for Hallucination Reduction
May 18, 2026Tej Sanibh RanadeLLM Hallucination Mitigation Hallucination in Language Models
Independent Researcher
Task Abstention for Large Language Models in Code Generation
May 16, 2026Yanke Zhou, Yuhao Tan, Senrong Xu +4Selective Prediction LLM Hallucination Mitigation
State Key Laboratory of Novel Software Technology Nanjing University · School of Computing and Mathematical Sciences University of London
MHSA: A Lightweight Framework for Mitigating Hallucinations via Steered Attention in LVLMs
May 14, 2026Wei Ding, Yilin Li, Yudong Zhang +4Vision-Language Models LLM Hallucination Mitigation
Tsinghua University Beijing, China · Tsinghua University, Tencent Beijing, China · Tencent Beijing, China +2
ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows
May 13, 2026Alvaro Lopez Pellicer, Plamen Angelov, Marwan Bukhari +3LLM Hallucination Mitigation Healthcare
School of Computing and Communications, Lancaster University · Lancaster Medical School, Lancaster University · PUC-Rio, Puc-Behring Institute for AI
CAAFC: Chronological Actionable Automated Fact-Checker for misinformation / non-factual hallucination detection and correction
May 12, 2026Islam Eldifrawi, Shengrui Wang, Amine TrabelsiLLM Hallucination Mitigation Automated Fact-Checking
The Semantic Training Gap: Ontology-Grounded Tool Architectures for Industrial AI Agent Systems
May 11, 2026Grama ChethanLLM Grounding LLM Hallucination Mitigation
Siemens Digital Industries Software, Plano, TX, United States
Hallucination as an Anomaly: Dynamic Intervention via Probabilistic Circuits
May 7, 2026Erik Nielsen, Elia Cunegatti, Marcus Vukojevic +1Probabilistic Circuits LLM Hallucination Mitigation
Department of Information Engineering and Computer Science University of Trento Trento, Italy
HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs
May 4, 2026Ahmed CherifLLM Evaluation LLM Hallucination Mitigation
1Sofrecom Tunisia, Orange Innovation, Tunis, 1053, Tunisia.
Only Say What You Know: Calibration-Aware Generation for Long-Form Factuality
May 3, 2026Wen Luo, Guangyue Peng, Liang Wang +7Long-Form Document Generation LLM Hallucination Mitigation
State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University Research Asia · MSRA · Microsoft
Neuro-Symbolic Agents for Hallucination-Free Requirements Reuse
May 2, 2026Ahmed F. IbrahimMulti-Agent LLM Systems Requirements Engineering
Western University London, Canada
Hallucinations Undermine Trust; Metacognition is a Way Forward
May 2, 2026Gal Yona, Mor Geva, Yossi MatiasLLM Hallucination Mitigation Hallucination in Language Models
Google Research · Tel Aviv University
Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented Generation
May 2, 2026Peiyang Liu, Qiang Yan, Ziqiang Cui +3Retrieval-Augmented Generation LLM Hallucination Mitigation
National Engineering Research Center for Software Engineering, Peking University Beijing, China · PX Securities Shenzhen, China · City University of Hong Kong Hong Kong SAR, China +2
LLM Ghostbusters: Surgical Package Hallucination Suppression via Adaptive Unlearning
May 1, 2026Joseph Spracklen, Pedram Aghazadeh, Farinaz Koushanfar +1LLM Hallucination Mitigation Hallucination in Language Models
University of Texas San Antonio San Antonio, TX, USA · University of California San Diego La Jolla, CA, USA
MoRFI: Monotonic Sparse Autoencoder Feature Identification
Apr 29, 2026Dimitris Dimakopoulos, Shay B. Cohen, Ioannis KonstasLLM Hallucination Mitigation LLM Interpretability
University of Edinburgh, UK · Heriot-Watt University, UK
GSAR: Typed Grounding for Hallucination Detection and Recovery in Multi-Agent LLMs
Apr 25, 2026Federico A. KamelharAI Agent Reliability Multi-Agent LLM Systems
Senior Principal Architect, Agentic AI Oracle Corporation
Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding
Apr 24, 2026Weixu Zhang, Fanghua Ye, Qiang Gao +7Contextual Faithfulness Language Model Decoding
Hunyuan AI Digital Human, Tencent · McGill University · Mila - Quebec AI Institute +4
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
Align Generative Artificial Intelligence with Human Preferences: A Novel Large Language Model Fine-Tuning Method for Online Review Management
Apr 23, 2026Yanan Wang, Yong GeLLM Hallucination Mitigation LLM Fine-Tuning
Department of Information Systems and Operations Management, The University of Texas at Arlington · Department of Management Information Systems, University of Arizona
Differentiable Conformal Training for LLM Reasoning Factuality
Apr 22, 2026Nathan Hittesdorf, Marco Salzetta, Lu ChengLLM Hallucination Mitigation Conformal Prediction
Department of Computer Science, University of Illinois at Chicago, Chicago, United States · Department of Physics, University of Illinois at Urbana-Champaign, Urbana, United States
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
Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RL
Apr 18, 2026Skylar Zhai, Jingcheng Liang, Dongyeop KangLLM Hallucination Mitigation RL for Language Model Reasoning
University of Minnesota
MeasHalu: Mitigation of Scientific Measurement Hallucinations for Large Language Models with Enhanced Reasoning
Apr 18, 2026Ruijun Huang, Zhiqiao Kang, Yuxuan Zhu +5LLM Hallucination Mitigation Document Information Extraction
1Shenzhen Key Laboratory for High Performance Data Mining, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences · Artificial Intelligence Research Institute, Shenzhen University of Advanced Technology
SafeLM: Unified Privacy-Aware Optimization for Trustworthy Federated Large Language Models
Apr 17, 2026Noor Islam S. Mohammad, Uluğ BayazıtLLM Hallucination Mitigation Privacy-Preserving Language Models
Istanbul Technical University

May 27, 2026, cs.CLJ/K move · Enter open · S save

Rethinking Visual Neglect: Steering via Context-Preference for MLLM Hallucination Mitigation

Jingwen Wu, Xijun Zhang, Ge Song

School of Computer and Electronic Information, Nanjing Normal University, China

LLM Hallucination Mitigation Hallucination in Language Models Object Hallucination in VLMs Multimodal Large Language Models Activation Steering VLM Hallucination Mitigation

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Object hallucination remains a primary obstacle to the reliable deployment of Multimodal Large Language Models (MLLMs). Current inference-time mitigation methods mainly assume hallucinations stem from visual neglect, steering models to enhance visual reliance. In contrast, our systematic interventions on multiple MLLMs show that pushing toward more visual reliance may exacerbate hallucinations on some models, while less may mitigate hallucinations. This result suggests that attributing hallucinations solely to visual insufficiency is underdetermined. We argue that the image, as a context, simultaneously competes with the model's parametric knowledge and the textual context. For this, we propose a training-free framework, Context-Preference Activation Steering (CAS). It extracts two semantically distinct Context Preference Vectors (CPVs) via two small sets of designed conflict samples and applies them via single-pass signed residual injection at mid-early MLP layers during inference to control information reliance. Experiments show that CAS substantially mitigates object hallucinations without increasing decoding latency and preserves native text-generation quality.

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