An Analysis of Training-Free Self-Reported Confidence in Language Models
Large language models can report a numerical confidence together with generated content, but it is unclear whether this report is more than calibrated rhetoric. We analyze three training-free signals: confidence verbalized with the answer, post-hoc $P(\mathrm{True})$, and agreement with three additional generations on...
L. Meyer, Sofia Rossi, Wei Chen et al.
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