Unverified50% confidenceFactExact time
推理模型在返回最终结果前进行内部链式思考(Chain-of-Thought),消耗大量token和计算时间以换取更深层理解和更低错误率
1
Sources
50%
Confidence
Long-term
Relevance
7/18/2026
First Seen
Sources
Related Claims
Unverified思考模型在输出前会经历内部链式推理(Chain-of-Thought)过程,在数学证明、代码调试、复杂逻辑推理等任务上表现优于标准模型,代价是延迟更高、计算成本更大84% similarVerified推理能力基于思维链(Chain-of-Thought, CoT)技术,模型在给出最终答案前生成内部逐步推导过程84% similarVerifiedChain-of-Thought(思维链)提示技术通过强制模型先输出中间步骤来部分缓解自回归模型在逻辑推理中的缺陷83% similarUnverified思维链提示(Chain-of-Thought Prompting)通过引导模型显式输出推理步骤,在复杂推理任务中能显著减少跳跃性错误81% similarUnverified推理模型在生成最终答案前会先产生大量内部思维链(Chain-of-Thought)token,这些 token 不直接暴露给用户80% similar
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