CA-BED: Conversation-Aware Bayesian Experimental Design 事件

CA-BED: Conversation-Aware Bayesian Experimental Design arXiv:2606.01182v1 Announce Type: new Abstract: Large Language Models (LLMs) excel at static reasoning tasks, yet their performance often degrades in interactive scenarios where information must be actively acquired through questioning. A key challenge lies in selecting questions that reduce uncertainty while incorporating responses that may be ambiguous or only partially informative. To address this, we propose Conversation-Aware Bayesian