BayesBench Shows LLMs Lag Behind Rational Belief Updating
BayesBench tests whether LLMs reduce epistemic uncertainty in multi-turn dialogs like a Bayesian reasoner. The benchmark shows scaling improves latent inference, but belief updates still fall short of rational posterior tracking, exposing a gap for conversational agents that must adapt to new evidence.