Unverified50% confidenceFactExact time
研究者通常使用期望校准误差（ECE）来量化模型的校准程度
1
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50%
Confidence
Long-term
Relevance
7/17/2026
First Seen
Sources
Related Claims
UnverifiedExpected Calibration Error (ECE) bins prediction samples by confidence level, computes the weighted average of the difference between predicted confidence and actual accuracy within each bin, and ideally approaches 0.82% similarUnverifiedThe Brier score assesses calibration quality by calculating the square of the difference between the predicted probability and the actual outcome, with a lower score indicating more accurate predictions64% similarUnverified2020年前后的多篇论文显示，在控制条件下AI模型与DEXA结果的相关系数可达0.85-0.93，平均绝对误差约2-4%体脂百分比60% similarUnverifiedMainstream benchmarks for evaluating Agent planning capabilities include ALFWorld, WebArena, and GAIA, and the scores of current state-of-the-art models remain far below human-level performance.59% similarUnverified在Elo系统中，若模型A评分为Ra、模型B评分为Rb，A获胜的期望概率为1/(1+10^((Rb-Ra)/400))59% similar
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