Calibrating Small Language Models for Claim Check-Worthiness Detection
N-PPI is proposed, a pointwise extension of Prediction-Powered Inference that calibrates model predictions at inference time as a lightweight post-hoc layer, without re-training the underlying model, to make accurate check-worthiness detection substantially cheaper to operate at scale.
Pratuat Amatya, Venktesh Viswanathan, Vinay Setty
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