Unverified50% confidenceDecision RuleExact time
Accuracy alone cannot support gating thresholds; the decision model must be well calibrated so that the output probability values reflect true occurrence rates.
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10/20/2026
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UnverifiedAccuracy only checks whether the highest-probability option is correct, while NLL also measures the probability assigned to the correct option, so NLL can worsen while accuracy rises.79% similarUnverified精确数值计算需要严格遵循确定性规则，这与基于统计概率的token预测机制存在根本性矛盾79% similarUnverifiedThe effectiveness of threshold functions is highly dependent on the calibration quality of the underlying model's output probabilities; if the model is not well-calibrated, threshold functions set based on probability values will lose their theoretical foundation.78% similarUnverifiedBefore deploying LLMs in high-stakes professional settings, the underlying model reasoning may be unreliable beneath a surface of high accuracy, making rigorous testing of contextual adaptability indispensable.75% similarUnverifiedConfidence itself does not improve accuracy; its value lies in supporting routing by confidence, and the mechanism's effectiveness depends on whether confidence is calibrated—when discrimination is insufficient, threshold routing degrades into random routing.75% similar
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