Unverified50% confidenceFactExact time
研究表明CoT提示在参数量低于100B的模型上几乎无效
1
Sources
50%
Confidence
Long-term
Relevance
7/25/2026
First Seen
Sources
AI编程接单变现：四周学习路线的冷静拆解与真实评估
Related Claims
UnverifiedResearch found that CoT reasoning ability emerges spontaneously only in ultra-large-scale models with more than approximately 100B parameters.81% similarVerifiedThe emergent property of CoT manifests only when model parameter count exceeds approximately 100 billion, at which point it significantly improves performance, while being almost ineffective on smaller models.72% similarUnverifiedThe CoT effect is especially pronounced in models with parameter counts exceeding approximately 100B, manifesting as 'emergent capabilities'.64% similarUnverifiedOpenAI's chart shows that at lower test-time compute levels, the model's success rate on this problem is close to zero, with occasional success only under extremely long reasoning chains.64% similarUnverifiedThe CVE-Zero test has a small sample size (n=10), and the author characterizes the results as directional.64% similar
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