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Haoyu Gao

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Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision

This study proposes local Platt-scaling applied separately to three different fine-grained confidence scores, finding that fine-grained confidence scores consistently achieve lower calibration error across a broader range of probability intervals, and this effect is further amplified when global Platt-scaling is applie...

Hongzhan Lin, Chunhua Liu, Haoyu Gao et al. · 0 citations

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