Expired70% confidenceFactExact time
Academia refers to the phenomenon in which large models tend to focus on the beginning and end of input text while overlooking key information in the middle as the 'Lost in the Middle' problem.
4
Sources
70%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
Claude Code + Skills: A Practical Guide to AI-Powered Test Case Generation
bilibiliAI测试大本营6/12/2026
Related Claims
VerifiedLLMs exhibit a 'Lost in the Middle' phenomenon, where the model pays more attention to information at the beginning and end of the context while tending to overlook information in the middle.78% 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.76% similarVerifiedWhen key information is placed in the middle of a long text, the model's retrieval and reasoning accuracy drops significantly, while information placed at the beginning or end can be utilized more effectively.76% similar
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