Unverified50% confidenceFactExact time
answer_confidence is the probability the model assigns to the chosen option; confidence is a normalized measure of the concentration of the entire probability distribution.
1
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50%
Confidence
Long-term
Relevance
10/15/2026
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Related Claims
VerifiedDecision models focus on answering yes/no judgments, multiple-choice questions, and probability-scored rating-type problems.74% similarUnverifiedThis version supports model outputs accompanied by probability distributions across options and confidence metadata72% similarUnverifiedCalibration means that the probabilities output by the model should match reality; neural networks generally have an overconfidence tendency, so model probabilities should not be blindly trusted, and thresholds should be set only after validation with labeled data.72% similarUnverifiedLLM输出的置信度来自logits或token概率，是模型内部的相对偏好，并不等同于事件发生的真实频率，即模型可能过度自信。72% similarUnverifiedThe residual distribution is defined as follows: for tokens where the target model probability p(x) is greater than the draft model probability q(x), the residual probability is proportional to max(0, p(x)-q(x)); this mechanism ensures that the marginal distribution of the sampled results strictly equals the original distribution of the target model.69% similar
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