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Self-RAG
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Memory455 committed Jan 22, 2024
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Expand Up @@ -95,4 +95,4 @@ Self-RAG首先训练一个评论器模型C来生成反思令牌,用于评估
# 4 Self-RAG与普通RAG优势对比

- **自适应段落检索**:通过这种方式,LLM可以继续检索上下文,直到找到所有相关的上下文(当然是在上下文窗口内);
- **更相关的检索**:很多时候,embedding模型并不擅长检索相关上下文。Self-RAG可能通过relevant/irrelevant的特殊token来解决这一问题
- **更相关的检索**:很多时候,embedding模型并不擅长检索相关上下文。Self-RAG可能通过relevant/irrelevant的特殊token来解决这一问题

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