新闻
RECAST: Learning to Compute the Right Context through Adaptive Evidence Routing
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- RECAST framework learns to route language models through retrieval and computation operations to derive evidence from multiple sources rather than retrieve it directly.
- 为何重要
- Matters for engineers building systems that answer questions requiring synthesis across long, heterogeneous documents or data sources.
- 注意
- Paper is recent preprint; real-world performance on production systems and computational overhead of the routing process remain unvalidated.
- agent
- agentic
- language model
- rag
- retrieval
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