An Analysis of Training-Free Self-Reported Confidence in Language Models
The results argue that useful self-reports remain sensitive to elicitation, correlated errors, and benchmark noise, and that useful self-reports remain sensitive to elicitation, correlated errors, and benchmark noise.
L. Meyer, Sofia Rossi, Wei Chen et al.
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