Unverified50% confidenceFactExact time
思维链将模型内部工作记忆外部化，把中间推导结果存入上下文，借助注意力机制随时读取和复用
1
Sources
50%
Confidence
Long-term
Relevance
7/8/2026
First Seen
Sources
Why Does Chain-of-Thought (CoT) Boost Reasoning? A Four-Layer Deep Dive
bilibiliAI-Agent搭建7/7/2026
Related Claims
Unverified上下文图谱为智能体提供了介于临时上下文和模型权重微调之间的中间层记忆机制，可在不改变底层模型的前提下持续积累经验77% similarUnverifiedTool calling allows models to dynamically invoke external functions during inference and incorporate execution results into the context of subsequent reasoning, forming a closed loop of perception, decision-making, and execution.76% similarUnverifiedStructured step-by-step instructions create local contextual anchors for the model, forcing the attention mechanism to distribute more evenly across different semantic units.74% similarPartially VerifiedThe self-attention mechanism allows the model to simultaneously reference the contextual information of all other tokens in a sequence when processing each token, rather than processing sequentially as RNNs do74% 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74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/233242API
curl https://kongchang.com/api/v1/knowledge/claims/233242MCP
get_claim(id=233242)