Unverified50% confidenceTradeoffExact time
编码智能体面临Lost in the Middle问题：代码库文件增多时模型对上下文窗口中间位置信息的注意力显著降低
1
Sources
50%
Confidence
Long-term
Relevance
8/29/2026
First Seen
Sources
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Related Claims
VerifiedModels' recall of content at the beginning and end of the context window is significantly better than that of the middle portion, a phenomenon known as the "Lost in the Middle" problem.74% similarUnverified极简智能体在处理大型代码库时面临上下文窗口管理的挑战，可能在RAG、代码索引、长期记忆等能力上被简化或缺失73% similarUnverifiedA model's context window has a physical upper limit and cannot ingest all information from an entire large codebase at once, which may result in code changes that are locally optimal but globally incorrect.73% similarUnverifiedDue to the existence of positional encoding, content at the beginning and end of a prompt tends to receive more attention than content in the middle.71% similar
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