Unverified60% confidenceFactExact time
Large language models exhibit a 'Lost in the Middle' phenomenon when processing long contexts—formally named in a 2023 Stanford University research paper—which becomes especially pronounced when the context exceeds 32K tokens.
2
Sources
60%
Confidence
Long-term
Relevance
7/7/2026
First Seen
Sources
Andrew Ng Partners with Anthropic: A Deep Dive into the Claude Code Practical Course
bilibili吴恩达人工智能-AndrewNg7/1/2026
Related Claims
VerifiedLarge language models exhibit a 'Lost in the Middle' phenomenon in long contexts, where the weight of the original task goal in the attention mechanism becomes diluted (Liu et al., 2023).74% similarUnverifiedIn 2023, Stanford University and other institutions published research finding that large language models pay noticeably more attention to the beginning and end of input content than to the middle when processing long documents, exhibiting a 'U-shaped curve' effect.72% similar
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