Retrieval as Reasoning: Self-Evolving Agent-Native Retrieval via LLM-Wiki 事件

Retrieval as Reasoning: Self-Evolving Agent-Native Retrieval via LLM-Wiki arXiv:2605.25480v1 Announce Type: new Abstract: LLM agents require retrieval to behave less like one-shot context fetching and more like reasoning: searching, reading, traversing, and deciding when evidence is sufficient. However, Retrieval-Augmented Generation (RAG) typically organizes external knowledge as flat chunks retrieved by embedding similarity, exposing a retrieval-as-lookup interface that is poorly aligned with