Unverified50% confidenceSolutionExact time
口语化采样通过在提示词中要求模型生成一组候选答案并显式说出每个答案对应的概率分布来提升多样性
1
Sources
50%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
口语化采样登顶ICML：提示工程配得上顶会吗？
Related Claims
UnverifiedLarge language models can approximately estimate decision confidence by analyzing token probability distributions, explicitly outputting self-evaluation scores, or observing answer consistency across multiple samplings.77% similarUnverifiedWhen generating each token, large language models perform probabilistic sampling over all possible next words in the vocabulary, rather than deterministically selecting a unique answer.75% similarVerifiedThe essence of large language models is learning the conditional probability distribution of what the next word is given the preceding text73% similarUnverified答案解析的鲁棒性往往直接决定评估得分，因为模型可能以多种格式表达同一答案73% similarUnverifiedLarge language models use probability-based sampling strategies during text generation, where hyperparameters like temperature and top-p determine the degree of randomness in output.71% similar
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