Unverified50% confidenceBenchmarkExact time
2021年的Chain-of-Thought Prompting论文证明，通过在提示词中加入推理步骤示例，模型的数学推理准确率可提升数十个百分点
1
Sources
50%
Confidence
Long-term
Relevance
7/9/2026
First Seen
Sources
AI App Development in Practice: Why Prompts Are the Core of Your Product
bilibili老码农阿涛7/1/2026
Related Claims
VerifiedThe Chain-of-Thought prompting paper published in 2022 by Jason Wei et al. of Google Brain was the first to systematically demonstrate that adding step-by-step reasoning examples significantly improves the accuracy of large models such as PaLM on mathematical reasoning tasks80% similarUnverified研究表明，即使使用相同的基础模型，引入迭代反思机制后在代码生成、数学推理等任务上的准确率可提升20%-40%76% similarUnverifiedThe Chain-of-Thought technique can significantly improve model accuracy on mathematical reasoning and code generation tasks, with the most pronounced effect on large models with parameter scales exceeding 100B.75% similarVerifiedChain of Thought能显著提升模型在数学推理、逻辑判断等需要多步推导的任务上的表现75% similar
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