VLDB talk: Deep Research agents need co-designed retrievers, DR Tulu and AgentIR show
CShorten30 · x · 2026-09-05
At VLDB, Akari Asai presented work on Deep Research agents, covering DR Tulu and AgentIR.
- DR Tulu: trains deep research agents with rubrics to choose between BM25 and vector search retrievers, with strong results.
- AgentIR: trains a dedicated embedding model for the agent's intermediate reasoning and search queries, a notably elegant insight.
The author suggests combining AgentIR with BM25/ColBERT-style feedback as an open research direction, bridging rationale-guided search and retrieval results.
Related event: VLDB talk: Deep Research agents need co-designed retrievers(4 posts)→
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