Sem-ECE is an asymptotically unbiased calibration error estimator for open-ended QA that uses semantic sampling of answers to derive confidence from class frequencies, with two variants that diverge on hard questions.
Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language generation
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A Semantic-Sampling Framework for Evaluating Calibration in Open-Ended Question Answering
Sem-ECE is an asymptotically unbiased calibration error estimator for open-ended QA that uses semantic sampling of answers to derive confidence from class frequencies, with two variants that diverge on hard questions.