Local Platt scaling on three fine-grained confidence scores reduces calibration error for LLM-based automated code revision across tasks and models compared to global scaling alone.
Too noisy to learn: Enhancing data quality for code review comment generation,
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Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision
Local Platt scaling on three fine-grained confidence scores reduces calibration error for LLM-based automated code revision across tasks and models compared to global scaling alone.