Verified80% confidenceFactTime unknown
斯坦福大学2023年发表了研究论文《Lost in the Middle》，实验证明当关键信息被放置在长上下文的中间位置时，模型的检索准确率会大幅下降
56
Sources
80%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
多Agent系统实战：五种协调模式砍掉85%成本
bilibili为什么叫QQ
Related Entities
Related Claims
Unverified斯坦福大学2023年研究显示当关键信息位于超长文档中间段落时模型检索准确率显著低于位于开头或结尾83% similarUnverifiedIn 2023, Nelson Liu and others from Stanford University argued in the paper "Lost in the Middle" that model performance is significantly lower when relevant information is located in the middle of a long context compared to when it is at the beginning or end, forming a U-shaped performance curve.82% similarUnverified斯坦福大学2023年的研究将Transformer在处理超长上下文时对中间位置信息遗忘率显著高于首尾位置的现象命名为'Lost in the Middle'问题80% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/16311API
curl https://kongchang.com/api/v1/knowledge/claims/16311MCP
get_claim(id=16311)