AI RESEARCH
When Should Models Change Their Minds? Contextual Belief Management in Large Language Models
arXiv CS.AI
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ArXi:2605.30219v1 Announce Type: new 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 measurable, we