Expired50% confidenceFactExact time
The 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.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/4/2026
First Seen
Valid until: 10/2/2026(expired)
Sources
OpenCode 完全上手指南：安装配置与自定义命令实战
bilibiliAI大模型小将7/2/2026
Related Claims
Unverified使用包含引导语的Chain-of-Thought提示，可使大语言模型在复杂推理任务上准确率提升40%以上82% 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78% similarUnverifiedThe ReAct framework significantly improves model accuracy on complex multi-step tasks compared to pure reasoning models78% similarVerifiedChain-of-Thought (CoT) prompting significantly improves accuracy on math and logical reasoning tasks by guiding the model through step-by-step reasoning.77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/79283API
curl https://kongchang.com/api/v1/knowledge/claims/79283MCP
get_claim(id=79283)