Verified90% confidenceFactExact time
Chain-of-thought reasoning was proposed by Wei et al. in 2022, referring to guiding a model to output step-by-step intermediate reasoning processes before giving a final answer
7
Sources
90%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Qwen4、DeepSeek V4、GLM同台竞技：国产大模型密集冲刺
Related Claims
VerifiedChain-of-Thought reasoning (CoT) was proposed by Wei et al. in 2022, guiding models to gradually decompose complex problems by inserting intermediate reasoning steps into the prompt.85% similarVerifiedChain-of-Thought prompting was systematically proposed by Wei et al. in 2022 in the paper 'Chain-of-Thought Prompting Elicits Reasoning in Large Language Models'.78% similarUnverifiedChain-of-Thought (CoT), proposed by Wei et al., improves accuracy on complex mathematical and logical reasoning tasks by guiding the model to display its reasoning process step by step.73% similarVerifiedThe o-series models combine chain-of-thought reasoning with reinforcement learning, with the model generating internal thinking steps before producing an answer.73% similarVerifiedThe 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 tasks72% similar
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