LLM Hallucination Detection

LLM: Large Language Model

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13 papers in the last four weeks, up 63% on the four weeks before. 0.1% of all new papers.

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  1. HIVE: Hidden-Evidence Verification for Hallucination Detection in Diffusion Large Language Models

    Apr 28, 2026Guoshenghui Zhao, Tan Yu, Weijie ZhaoHallucination DetectionHallucination in Language Models

    Rochester Institute of Technology · NVIDIA Corporation

  2. Detecting Hallucinations for Large Language Model-based Knowledge Graph Reasoning

    Apr 27, 2026Xinyan Zhu, Yaoqi Liu, Yue Gao +3LLM Reasoning with GraphsHallucination in Language Models

    Beijing University of Posts and Telecommunications · Tsinghua University

  3. FinGround: Detecting and Grounding Financial Hallucinations via Atomic Claim Verification

    Apr 26, 2026Dongxin Guo, Jikun Wu, Siu Ming YiuLLM Answer VerificationFinancial QA

    1The University of Hong Kong · 2Stellaris AI Limited

  4. GSAR: Typed Grounding for Hallucination Detection and Recovery in Multi-Agent LLMs

    Apr 25, 2026Federico A. KamelharAI Agent ReliabilityMulti-Agent LLM Systems

    Senior Principal Architect, Agentic AI Oracle Corporation

  5. Mind the Unseen Mass: Unmasking LLM Hallucinations via Soft-Hybrid Alphabet Estimation

    Apr 21, 2026Hongxing Pan, Yingying Guo, Wenqing Kuang +1Uncertainty QuantificationLLM Hallucination Detection

    School of Data Science The Chinese University of Hong Kong, Shenzhen

  6. Where Fake Citations Are Made: Tracing Field-Level Hallucination to Specific Neurons in LLMs

    Apr 20, 2026Yuefei Chen, Yihao Quan, Xiaodong Lin +1LLM Hallucination MitigationHallucination in Language Models

    Rutgers University

  7. BEACON: Behavioral Entropy Aggregation for Cross-Model Hallucination Detection in Large Language Models

    Apr 20, 2026Naveen Bera, Pulijala Sai Nikhila, Kondaguduru Abhiram +6LLM EvaluationHallucination Detection

    LLM Lens

  8. PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations

    Apr 18, 2026Yuhe Wu, Guangyu Wang, Yuran Chen +6LLM EvaluationHallucination in Language Models

    HKUST(GZ) · NYUSH · DUFE +2

  9. RAGognizer: Hallucination-Aware Fine-Tuning via Detection Head Integration

    Apr 17, 2026Fabian Ridder, Laurin Lessel, Malte SchillingRetrieval-Augmented GenerationLLM Hallucination Mitigation

    Computer Science Department, University of Münster, Münster, Germany

  10. Learning Uncertainty from Sequential Internal Dispersion in Large Language Models

    Apr 17, 2026Ponhvoan Srey, Xiaobao Wu, Cong-Duy Nguyen +1Hallucination in Language ModelsLLM Hallucination Detection

    Nanyang Technological University · Shanghai Jiao Tong University · Centre for AI Research, VinUniversity

  11. Beyond Literal Summarization: Redefining Hallucination for Medical SOAP Note Evaluation

    Apr 16, 2026Bhavik Vachhani, Kush Shrisvastava, Pranshu Nema +1Medical Report GenerationClinical Reasoning

    Augnito Research

  12. Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attribution

    Mar 5, 2026Qiao Jin, Yin Fang, Lauren He +12LLM Answer VerificationHealthcare

    Division of Intramural Research, National Library of Medicine, National Institutes of Health · Department of Computer Science, University of Virginia · Center for Cancer Research, National Cancer Institute, National Institutes of Health +3

  13. Fine-Grained Uncertainty Quantification for Long-Form Language Model Outputs: A Comparative Study

    Feb 19, 2026Dylan Bouchard, Mohit Singh Chauhan, Viren Bajaj +1LLM Hallucination MitigationHallucination in Language Models

    CVS Health, Wellesley, MA

  14. Decomposed Prompting Does Not Fix Knowledge Gaps, But Helps Models Say "I Don't Know"

    Feb 4, 2026Dhruv Madhwal, Lyuxin David Zhang, Dan Roth +2LLM PromptingQuestion Decomposition

    Arizona State University · University of Pennsylvania · Oracle AI

  15. HALT: Hallucination Assessment via Log-probs as Time series

    Feb 2, 2026Ahmad Shapiro, Karan Taneja, Ashok GoelLanguage Model Error DetectionHallucination Detection

    Georgia Institute of Technology · Microsoft

  16. When Guessing is Rewarded: Rethinking Language Model Evaluation with Distributional Uncertainty Scoring

    Oct 5, 2025Thomas F BurnsLLM EvaluationLanguage Model Generation Evaluation

    Aleph Alpha Research

  17. Training-free Truthfulness Detection via Sparse MLP Value Vectors

    Sep 22, 2025Runheng Liu, Heyan Huang, Xingchen Xiao +2LLM ReliabilityLLM Hallucination Detection

    Beijing Institute of Technology Beijing, China

  18. Geometric Uncertainty for Detecting and Correcting Hallucinations in LLMs

    Sep 17, 2025Edward Phillips, Sean Wu, Soheila Molaei +3Uncertainty QuantificationLLM Hallucination Mitigation

    Department of Engineering Science, University of Oxford · GlaxoSmithKline · Oxford Suzhou Centre for Advanced Research

  19. Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor

    Jul 21, 2025Siyuan Liu, Wenjing Liu, Zhiwei Xu +3LLM Hallucination MitigationHallucination in Language Models

    College of Computer Science, Nankai University · College of intelligent Science and Technology, Inner Mongolia University of Technology · Institute of Computing Technology, Chinese Academy of Sciences +3

  20. Verify when Uncertain: Beyond Self-Consistency in Black Box Hallucination Detection

    Feb 20, 2025Yihao Xue, Kristjan Greenewald, Youssef Mroueh +1Kernel Mean EmbeddingsSelective Prediction

    Department of Computer Science University of California, Los Angeles · MIT-IBM Watson AI Lab · IBM Research

  21. When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in LLMs

    Date pendingShaowen Wang, Yiqi Dong, Ruinian Chang +4Hallucination in Language ModelsLLM Hallucination Detection

    Institute for Interdisciplinary Information Sciences, Tsinghua University