Belief Updating in LLMs

LLM: Large Language Model

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  1. Do LLMs Change Their Minds Like Humans? Diagnosing Human--LLM Divergence in Single-Turn Persuasion Judgments

    Aug 30, 2026Lin Chen, Yitong Chen, Yong LiLLM EvaluationBelief Updating in LLMs

  2. Learning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs

    Aug 12, 2026Nimet Beyza Bozdag, Emre Can Acikgoz, Gokhan Tur +1Deception in Language ModelsAdversarial Attacks on LLMs

  3. LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems

    Aug 8, 2026Heng Zhou, Lian Zhang, Yutao Fan +5Multi-Agent LLM SystemsKnowledge Conflicts in Language Models

  4. LLMs struggle to simulate human belief updates in controlled environments

    Jul 30, 2026Sebastian Pohl, Harsh Mehta, Pranav Mambayil +4Human Behavior SimulationLLM Reliability

  5. Evaluating Communicative Belief Updates in Large Language Models via Implicature Recognition and Cancellation

    Jul 27, 2026Cesare Spinoso-Di Piano, Verna Dankers, Marius Mosbach +1LLM EvaluationPragmatic Reasoning in Language Models

  6. BayesBench: Evaluating LLM Belief Trajectories Under Multi-Turn Evidence Accumulation

    Jun 29, 2026Ankur Samanta, Akshayaa Magesh, Tal Lancewicki +7LLM EvaluationBayesian Inference

  7. Evidence-Informed LLM Beliefs for Continual Scientific Discovery

    Jun 28, 2026Dhruv Agarwal, Reece Adamson, Andrew McCallum +3Scientific Hypothesis GenerationBelief Updating in LLMs

  8. From Drift to Coherence: Stabilizing Beliefs in LLMs

    Jun 16, 2026SongEun Kim, Seungyoo Lee, Edwin Fong +2LLM Fine-TuningBayesian Inference

  9. LLMs are not (consistently) Bayesian: Quantifying internal (in)consistencies of LLMs' probabilistic beliefs

    May 7, 2026Chacha Chen, Matthew Jörke, Adam Goliński +4Belief RevisionLLM Auditing

  10. Hypothesis generation and updating in large language models

    May 7, 2026Hua-Dong XiongLogical ReasoningBayesian Inference