新闻
Retriever-Free Retrieval: Navigating Documents with Decision Models
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- DecisionRAG uses decision models to navigate document hierarchies and retrieve relevant passages without generating tokens, outperforming dense retrieval baselines.
- 为何重要
- Matters for engineers building retrieval systems who want faster, more capable document search without task-specific training or separate rerankers.
- 注意
- Paper is recent arXiv submission; real-world performance on production corpora and latency under scale remain to be validated independently.
- language model
- rag
- retrieval
- retriever
- embedding
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