Multicalibration for Confidence Scoring in LLMs

Gianluca Detommaso, Martin Bertran, Riccardo Fogliato +1

This paper proposes the use of "multicalibration" to yield interpretable and reliable confidence scores for outputs generated by large language models (LLMs). Multicalibration asks…