Verified75% confidenceFactExact time
When processing very long contexts, models exhibit a "Lost in the Middle" phenomenon, whereby they tend to make better use of information at the beginning and end of the context.
3
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75%
Confidence
Long-term
Relevance
9/7/2026
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Related Claims
UnverifiedWhether a model can accurately locate key information in an ultra-long context and avoid the lost-in-the-middle phenomenon is a decisive factor in determining coding performance.74% similarUnverified上下文图谱为智能体提供了介于临时上下文和模型权重微调之间的中间层记忆机制，可在不改变底层模型的前提下持续积累经验71% similarUnverifiedThe study found that even when prompts explicitly instruct the model to answer from a prospective perspective, the model is still influenced by outcome information already present in the context, and physical truncation is the effective means of blocking hindsight bias.71% similarUnverifiedSDD places the most critical constraints and decisions at prominent positions in the context (typically at the beginning) to leverage the Lost in the Middle effect and ensure the model prioritizes following this information.70% similarUnverifiedDuring inference, model weights are frozen, and the model is merely managing context rather than converting present experience into persistent model knowledge.69% similar
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