Unverified50% confidenceFactExact time
Conventional training (such as cross-entropy loss) only penalizes incorrect predictions without constraining probability calibration quality, causing models to be overconfident or overly conservative.
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50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
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