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New search agent method decouples page selection from extraction

A new research paper introduces Fetch-then-Explore, a novel approach for search agents that decouples page selection from evidence extraction. Unlike existing methods that tie a page's content to the moment it's opened or only use snippets, Fetch-then-Explore stores selected pages in a persistent workspace on the filesystem. This allows agents to revisit pages and extract information on demand, accumulating evidence across multiple search turns and improving accuracy on benchmarks like BrowseComp and WideSearch. AI

IMPACT This method could improve the efficiency and accuracy of search agents by allowing them to revisit and re-evaluate information more effectively.

RANK_REASON Research paper introducing a new method for search agents. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New search agent method decouples page selection from extraction

COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Tat-Seng Chua ·

    Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents

    Search agents now answer questions that take dozens of searches to settle, yet how such an agent reads a page has drawn far less attention than how it finds one. Nearly all of them use one of two document interfaces, and both tie a page to the moment it is opened. \emph{Visit-and…