Unverified50% confidenceBenchmarkExact time
CoT通过让模型在给出最终答案前逐步推理，可在数学推理等复杂任务上将准确率提升40%以上
1
Sources
50%
Confidence
Long-term
Relevance
7/5/2026
First Seen
Sources
Programmers Pivoting to AI: Opportunities in Application Development and Pitfalls to Avoid
bilibili码士集团-Java技术库6/5/2026
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Unverified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%83% similarVerifiedThe core finding of CoT is that when models are asked to think step by step, accuracy on tasks such as arithmetic and commonsense reasoning improves substantially.82% similarUnverified链式推理通过引导模型在给出最终答案前显式输出中间推理步骤，某些任务上准确率提升可达20-40个百分点81% similarVerified推理能力基于思维链（Chain-of-Thought, CoT）技术，模型在给出最终答案前生成内部逐步推导过程79% similarUnverifiedChain-of-Thought (CoT) prompting improves the quality of complex problem solving by requiring the model to reason step by step.78% similar
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