BriefGPT.xyz
Apr, 2024
通过提高预测正确性意识来优化校准
Optimizing Calibration by Gaining Aware of Prediction Correctness
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Yuchi Liu, Lei Wang, Yuli Zou, James Zou, Liang Zheng
TL;DR
模型校准的新后续校准目标函数通过使用样本的转换版本来减少模型对错误预测样本的置信度并增加对正确预测样本的置信度,从而与现有技术在校准性能上达到相当竞争水平。
Abstract
model calibration
aims to align
confidence
with prediction correctness. The Cross-Entropy CE) loss is widely used for
calibrator training
,
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