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Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to Agents

47 upvotes · 15 SEP 2026 · Caiqi Zhang, Xiaochen Zhu, Chengzu Li et al.

This paper proposes a new method for estimating confidence in language models, called XConf, which uses the model's past experiences to inform its confidence, rather than just relying on the current inference process. Practitioners might care about this because it could lead to more reliable and trustworthy deployment of language models.

experiential confidence estimationreasoningagentslanguage modelscontinual learning