Expired65% confidenceFactExact time
The Self-Consistency method was proposed by Google Research in 2023; its core idea is to raise the temperature parameter to have the model generate multiple different reasoning paths and answers, then select the most frequently occurring answer.
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
The 8 Core Modules of Prompt Engineering: A Complete Guide from Fundamentals to Advanced Techniques
bilibiliAI-大模型应用开发6/3/2026
Related Claims
VerifiedSelf-Consistency was formally proposed by Google Research in the 2022 paper 'Self-Consistency Improves Chain of Thought Reasoning in Language Models.'74% 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 tasks68% similarUnverified当模型参数量超过某一阈值，其处理复杂推理任务的能力会出现非线性跃升，这一涌现现象被Google Brain等机构的研究系统记录67% similarUnverified大模型的涌现能力指模型参数规模突破某一阈值后算术推理等能力突然出现，由谷歌2022年的论文系统记录66% similarUnverifiedReAct框架由谷歌研究院Yao等人于2022年提出，发表于ICLR会议，实验证明其在多跳问答和交互式决策任务上显著优于纯推理或纯行动模式66% similar
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