[KongchangAI]
Verified65% confidenceFactExact time

The Lost in the Middle effect originates from an inherent architectural bias in the Transformer attention mechanism where tokens in the middle positions receive lower attention weights, and no solution currently exists to completely eliminate it in all scenarios

3
Sources
65%
Confidence
Long-term
Relevance
7/10/2026
First Seen

Sources

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