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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PHRBench: A Behavioral Evaluation of Post-Hallucination Reasoning in LLMs
Oct 7, 2026Linghao Meng, Feng He, Xuan Yang +5Hallucination in Language Models LLM Hallucination Mitigation
National University of Singapore · Independent Researcher · Tsinghua University +2
Hallucination Across the Reasoning Lifecycle: Interface Visibility, Causal Evidence, and Release Control in Large Reasoning Models
Oct 4, 2026Zhe Yu, Mohan Li, Lei Yu +6LLM Hallucination Mitigation Hallucination in Language Models
Zhejiang University, China · Binjiang Institute of Zhejiang University, China · Guangzhou University, China +5
Alleviating Hallucination in Reasoning Tasks with Training-Free Uncertainty-Guided Steering
Sep 30, 2026Litian Liu, Qiqi Hou, Yubing Jian +5LLM Hallucination Mitigation Activation Steering
Qualcomm AI Research · UC Santa Barbara
Devils in Question Relay: Source-Conditioned Relay Steering to Mitigate Hallucinations in Audio-visual Large Language Models
Sep 29, 2026Yu Zhang, Pingrui Zhang, Xuefeng Bai +3LLM Hallucination Mitigation Hallucination in Language Models
Harbin Institute of Technology, Shenzhen, China
Faithful Activation Verbalization: Reducing Hallucinations in LLM Representation Interpretation
Sep 27, 2026Haiyan Zhao, Zirui Hei, Wei Shi +3LLM Hallucination Mitigation LLM Interpretability
New Jersey Institute of Technology · Shanghai AI Laboratory · Xi’an JiaoTong University +1
SAGE: Governed Artifact Generation from Enterprise Guidelines
Sep 15, 2026Mohammadreza Sediqin, Shivali Dalmia, Sumukha Thoppanahalli +2LLM Hallucination Mitigation LLM Guardrails
Centific Research New York, USA · Centific Research Seattle, USA · Centific Research Washington, USA
Look Before You Leap: Factual Decoding with Internal Attribution Signals
Sep 14, 2026Hayeong Ryu, JungMin Yun, Byeonggeuk Lim +2Language Model Decoding Language Model Error Detection
Department of Artificial Intelligence, Chung-Ang University · Graduate School of Advanced Imaging Sciences, Multimedia and Film, Chung-Ang University
Route, Don't Fix: Regime-Dependent Decoding Correction and a Trajectory-Gated Router for Reliable Clinical LLM Answer Selection
Sep 13, 2026Zeyu Dong, Benjamin Wang, Joyee W. JinAdaptive Inference Language Model Decoding
St. Theresa of Lisieux Catholic High School Toronto, Canada · Department of Computer Science University of Toronto Toronto, Canada
Domain-Specific Hallucination Detection in Large Language Models
Sep 12, 2026Varun Teja Chundru, Debasmita BiswasLanguage Model Error Detection LLM Hallucination Mitigation
Department of Computer Science Purdue University Fort Wayne
Noēsis: Deterministic-First Retrieval with Two-Tier Context Hydration for Factuality-Critical Queries on Small Local Models
Sep 7, 2026Nicola CogottiRetrieval-Augmented Generation LLM Grounding
Alpha Cogs
SFAD: Speculative Factuality-Aware Decoding
Sep 1, 2026Guanqiao Chen, Di Wang, Lijie HuLLM Hallucination Mitigation Speculative Decoding
1MBZUAI · University of Science and Technology of China · 3Provable Responsible AI and Data Analytics (PRADA) Lab +1
Stick to What You Know: A Study of Knowledge-Aligned Supervised Fine-Tuning
Aug 31, 2026Arthur Becker, Jakob Kemmler, David Thulke +3Supervised Fine-Tuning LLM Hallucination Mitigation
AppTek GmbH, Aachen, Germany · Machine Learning and Human Language Technology, RWTH Aachen University, Germany
MedAgent-R1: Faithfulness-Aware Reinforcement Learning for Evidence-Grounded Medical Reasoning
Aug 31, 2026Jiangwang Chen, Chenghao Zhang, Hengxing CaiLLM Hallucination Mitigation Evidence-Grounded Reasoning
Tsinghua University · DP Technology
Compression-Aware Abstention: Teaching LLMs to Refuse When KV-Compression Masks Remove Answer Evidence
Aug 30, 2026Mohammadali Khodabandehlou, Bhaskar KrishnamachariLLM Hallucination Mitigation KV Caching
University of Southern California
CLAIR-Fin: An Adversarial Multi-Agent Framework for Claim-Level Verification and Adaptive Debate in Cross-Modal Financial QA
Aug 13, 2026Fatema Tuj Johora Faria, Mukaffi Bin Moin, Jubayer Al Mahmud +2LLM Answer Verification LLM Hallucination Mitigation
Ahsanullah University of Science and Technology, Bangladesh · Jashore University of Science and Technology, Bangladesh · American International University - Bangladesh
ReLTEx: Reliable LLM-based Taxonomy Expansion
Aug 11, 2026Zeinab Ghamlouch, Mehwish AlamLLM Hallucination Mitigation LLM Reliability
Télécom Paris, Institut Polytechnique de Paris, France
Actionable Hallucination Detection: Translating Latent Uncertainty into Agentic Critique
Aug 11, 2026Sanidhya Vijayvargiya, Rahul LokeshLLM Hallucination Mitigation Hallucination in Language Models
Samsung Research America
REIN: Bridging the Gap between Reasoning and Reliability via Reflection and Abstention Alignment
Aug 8, 2026Zhengze Huang, Luyang Yu, Di Hong +5LLM Hallucination Mitigation LLM Reliability
The State Key Laboratory of Blockchain and Data Security, Zhejiang University · Fudan University · The Hong Kong Polytechnic University
NxN E-valuation: Hypothesis Certification via a Conformal CRT Null
Aug 6, 2026Bin Wang, Yan Zhong, Liang Luo +2LLM Hallucination Mitigation E-Values
Meta
Hallucinations Leave a Grounding Signature:Verifier-Guided Decoding for Selective Object Correction
Jul 30, 2026Lei Yang, Xinze Liu, Dayan Wu +7Hallucination Detection in VLMs LLM Hallucination Mitigation
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China · School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China · Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA
On Improving Faithfulness of Podcasts from Documents
Jul 24, 2026Soumya Dutta, Tejas Indulal Dhamecha, Pannaga ShivaswamyContextual Faithfulness LLM Evaluation
1Indian Institute of Science · 2Adobe Research
Mitigating Fabrication in Multi-Stage LLM Pipelines for Hiring: An Empirical Evaluation of Prompt Guardrails and Human-in-the-Loop Checkpoints
Jul 22, 2026Hiroko TakanoAI-Assisted Decision Making LLM Hallucination Mitigation
Lemmanode LLC
Zero Hallucination, by Construction: Hallucination-Aware Layered Oversight for Trustworthy Enterprise AI
Jul 20, 2026Bogdan Raduta, Horia Velicu, Alexandru Preda +1AI Agent Reliability LLM Hallucination Mitigation
MPR-CiteG: Enhancing RAG with Multi-Portfolio Retrieval and Citation-Grounded Generation
Jul 20, 2026Hyewon Lee, Minkyung Song, Junghyun Oh +2Retrieval-Augmented Generation LLM Hallucination Mitigation
Data Intelligence Laboratory, Department of Computer Science and Engineering, Chungnam National University, Daejeon 34134, Republic of Korea
Robust Summarization of Doctor-Patient Conversations: TalTech Systems for the Beyond Transcription Challenge
Jul 19, 2026Aivo Olev, Tanel AlumäeLLM Hallucination Mitigation Text Summarization
Tallinn University of Technology Tallinn, Estonia
The Severance Problem: LLMs are Unaware of the Person Beyond the Prompt
Jul 15, 2026Dor Litvak, Liu LeqiLLM Sycophancy LLM Hallucination Mitigation
The University of Texas at Austin
Evidence-Grounded Verified Agentic Reasoning: A Path Toward Eliminating LLM Hallucination in Empirical Inference via Tool-Attested Kernel Proofs
Jul 14, 2026Junyu RenLLM Hallucination Mitigation Evidence-Grounded Reasoning
Committee on Computational and Applied Mathematics, University of Chicago, Chicago, IL, USA.
To Answer or to Abstain: Mitigating Search-Agent Hallucinations via Abstention-Aware Reinforcement Learning
Jul 12, 2026Fengji Zhang, Tianyu Fan, Yuxiang Zheng +4AI Agent Reliability LLM Hallucination Mitigation
City University of Hong Kong · Alibaba Group
Tool-Adaptive LLM Reranker
Jul 12, 2026Zichuan Liu, Ruijin HuaLLM Hallucination Mitigation LLM Reranking
Carnegie Mellon University, Pittsburgh, PA 15213, USA · Huazhong University of Science and Technology, Wuhan, China
Game Theory Driven Multi-Agent Framework Mitigates Language Model Hallucination
Jul 9, 2026Runzhe Liu, Biquan Bie, Zihao Wang +7Multi-Agent LLM Systems LLM Hallucination Mitigation
1State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, Dalian University of Technology, Dalian, 116024, China · 2Dalian Key Laboratory of Intelligent Chemistry, CR Belt and Road Joint Laboratory on Intelligent Chemistry and Advanced Materials of Liaoning Province, School of Chemistry, Dalian University of Technology, Dalian, 116024, China · 4Independent Researcher, Beijing 100032, China. +1

Oct 7, 2026, cs.CLJ/K move · Enter open · S save

PHRBench: A Behavioral Evaluation of Post-Hallucination Reasoning in LLMs

Linghao Meng, Feng He, Xuan Yang, Junyuan Mao+4

National University of Singapore · Independent Researcher · Tsinghua University+2

Hallucination in Language Models LLM Hallucination Mitigation Belief Updating in LLMs

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Hallucinated information can propagate through multi-stage LLM systems and become part of the context for subsequent reasoning. Existing studies of post-hallucination reasoning (PHR) mainly characterize changes in final outcomes and aggregate reasoning dynamics, leaving how models resolve hallucinated premises at the response level insufficiently understood. In this work, we introduce PHRBench, a controlled benchmark for behaviorally structured PHR across four domains and 18 large language models. PHRBench characterizes each reasoning trajectory independently of final-answer correctness through Hallucination Compliance, Hallucination Avoidance, and Heuristic Correction, and defines an insightful trajectory as successful correction that ultimately reaches the correct answer. Across 4820 controlled instances, we find that successful recovery remains relatively rare and is associated with more frequent belief updates along the reasoning trajectory. We further find that properties of the hallucinated prompt contain substantial predictive signal for successful recovery, with a lightweight predictor achieving an AUROC of 0.847. These findings provide a behavioral view of post-hallucination reasoning, characterizing how LLMs resolve erroneous context and when successful recovery is likely to occur.

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