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Confident in a Confidence Score: Investigating the Sensitivity of the Calibration of Confidence Scores to Supervised Fine-Tuning in Generation Tasks

Uncertainty quantification techniques measure confidence in language model outputs to support critical applications like hallucination detection and selective prediction. While prior work has developed various confidence metrics and demonstrated their calibration for classification tasks or using verbalized confidence,...