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This work proposes XConf (eXperiential Confidence): estimating confidence together with the model's accumulated experience, and sees experiential confidence estimation as a new paradigm for future general-purpose confidence estimation.
LLMs don't just regurgitate token probabilities when expressing confidence; they perform a more sophisticated, cached self-evaluation of answer quality.
