ended6월 5일· 1 sources
The Middle Penalty: Why LLMs Struggle to Find Information Buried in Long Contexts
정보의 위치가 성능을 결정한다: LLM의 '중간 정보 망각' 문제
Why it matters
This finding exposes a critical flaw in how modern LLMs process information: accuracy depends not just on context length, but on where information sits in the sequence. For RAG systems and long-context applications, this means simple document concatenation fails—strategic re-ranking and information placement become as critical as retrieval quality itself.
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GPT-3.5-TurboLost in the Middleattention patternsRAG pipelineretrieval re-ranking