arXiv cs.AI
· Papers
BayesBench: Evaluating LLM Belief Trajectories Under Multi-Turn Evidence Accumulation
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 that govern it and