Unverified80% confidenceOpinionTime unknown
Token上下文窗口的遗忘效应是AI在连调阶段发明不存在接口的深层技术原因，当上下文窗口被填满时模型会开始遗忘早期信息
1
Sources
80%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Related Claims
UnverifiedContext loss in online customer service often stems from improper token window management in multi-turn conversations; when conversation history exceeds the model's context window, the Agent will lose memory if there is no memory compression or summarization mechanism72% similarUnverified大模型的记忆仅限于当前上下文窗口内的token序列，对话结束后所有中间状态消失68% similarVerifiedModels' 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.67% 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.67% similarUnverified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）67% similar
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