MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support 事件

MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support arXiv:2604.20022v3 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used for conversational clinical decision support, yet they conflate next token prediction with probabilistic decision making. We argue that this conflation reflects an architectural limitation: such systems lack explicit posterior tracking, controllable abstention threshol