Unverified50% confidenceFactExact time
LLM虽然不直接输出归一化概率向量,但可通过多种工程手段近似估计决策置信度
1
Sources
50%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
Related Claims
UnverifiedLLM可通过分析输出token的对数概率分布、思维链末尾自我评估、温度采样统计答案分布熵值等手段近似估计决策置信度79% similarVerifiedLLM本质上是统计概率模型,预测的是最可能出现的下一个token,而非真正理解业务语义78% similarVerifiedLLM以自回归方式逐token生成输出,每个词的选择基于当前上下文的概率采样78% similarPartially VerifiedLLM采用自回归生成机制,每一步仅根据概率分布采样下一个token78% similarUnverifiedLLM的本质是基于统计概率的序列预测而非真正的逻辑推理,这使其在处理长上下文依赖、全局架构一致性和复杂边界条件时存在先天局限77% similar
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