CPQ builds conformal prediction sets for black-box LLMs by stopping queries when the estimated missing-mass derivative is small and thresholding a Good-Turing based score, with a fallback EE label for unseen correct answers.
Springer, 2005
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Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models
CPQ builds conformal prediction sets for black-box LLMs by stopping queries when the estimated missing-mass derivative is small and thresholding a Good-Turing based score, with a fallback EE label for unseen correct answers.