When Should Models Change Their Minds? Contextual Belief Management in Large Language Models 事件

When Should Models Change Their Minds? Contextual Belief Management in Large Language Models arXiv:2605.30219v1 Announce Type: cross Abstract: Long-horizon interactions require language models to manage accumulating information: when to update their state, when to preserve their state, and what to ignore. We study this challenge as \textbf{Contextual Belief Management (CBM)}: maintaining a predicted belief state aligned with formal evidence while isolating task-irrelevant noise. To make CBM mea