Expired90% confidenceFactExact time
Chain-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'.
7
Sources
90%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Building AI Agents in Excel: A Hands-On Tutorial for Task Planning and Decomposition
bilibiliZeroAI6/27/2026
Related Claims
VerifiedThe Chain-of-Thought prompting technique was formally proposed by the Google Brain team in the 2022 paper "Chain-of-Thought Prompting Elicits Reasoning in Large Language Models".83% similarVerifiedChain-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 answer78% 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.77% similarUnverifiedCodex的计划模式机制理论基础来自大语言模型领域的思维链推理（Chain-of-Thought Reasoning）75% 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 tasks75% similar
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