新闻
Cited but Unused: Parametric Provenance in Retrieval-Augmented Generation
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers found that retrieval-augmented generation systems cite sources for claims they actually derive from internal model memory, not retrieved context.
- 为何重要
- Engineers building or evaluating RAG systems need to understand that citations may be misleading and standard verification methods fail to catch this problem.
- 注意
- The detection method developed measures what models know rather than what they actually used, leaving the core problem of separating knowledge from usage unsolved.
- retrieval
- eval
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