RAG 系统最伤信任的时刻，不是「答不出来」，而是「一本正经地答错」。拒答机制的目标是让系统在该沉默时沉默：检索层无料就明说，生成层答案没依据就降级，输出前再加一道 groundedness 校验。本文讲清三道防线的实现、阈值设计与「拒答不冷漠」的体验设计。

RAG 区别于裸聊天的核心承诺是「答案有据可查」——但很多系统的引用是装饰品：编号对不上、引用了上下文里没有的来源、或干脆一句「根据资料」。本文讲清引用体系的完整链路：chunk 稳定标识、生成时的引用协议、后校验防编造、句子级 attribution 与前端呈现。

!(https://www.gstatic.com/images/branding/googleg/1x/googleg_standard_color_128dp.png)Add as a preferredsource on Google…

!(https://www.gstatic.com/images/branding/googleg/1x/googleg_standard_color_128dp.png)Add as a preferredsource on Google…

In hybrid forecasting, a language model is often one of several available signals. A system may already have a market, c…

Large language models often answer structurally unanswerable questions, such as computing cot(-540°) or evaluating (1).s…