Unverified50% confidenceFactExact time
Context Rot（上下文腐烂）指随着对话变长、输入 Token 增多，模型准确度会逐步下降，该现象在 Claude、OpenAI、Gemini 等主流模型上普遍存在
1
Sources
50%
Confidence
Long-term
Relevance
8/20/2026
First Seen
Sources
Related Claims
Unverified尽管上下文窗口很大，上下文腐化（Context Rot）依然是巨大问题，模型对上下文中不同位置信息的注意力分布不均匀（Lost in the Middle效应）78% similarUnverifiedContext Rot refers to the phenomenon where, as the number of conversation turns increases, irrelevant information accumulates and the attention budget becomes filled with low-value content, causing reasoning quality to continuously decline.77% similarUnverified上下文腐烂（Context Rot）包含两种不同的故障模式：Distraction（注意力稀释）和Poisoning（因果链污染）71% similarUnverifiedRAG systems suffer from the 'Lost in the Middle' problem, where models tend to ignore information in the middle of a long context and favor the beginning and end.66% similarUnverifiedDespite Opus 4.7 already having a million-token context window, context rot remains a significant problem.62% similar
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