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News/BayesBench: Evaluating LLM Belief Trajectories Under Multi-Turn Evidence Accumulation
arxiv
PublishedJuly 1, 2026 at 4:00 AM
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BayesBench: Evaluating LLM Belief Trajectories Under Multi-Turn Evidence Accumulation

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arXiv:2606.30850v1 Announce Type: new Abstract: Large language models (LLMs) are typically deployed in multi-turn conversations, where each turn provides new evidence that should reduce epistemic uncertainty about their environment. Acting rationally then requires inferring the unobserved quantities

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