SOURCE-LINKED INTELLIGENCE

SearchWiki: Learning to Build and Navigate Knowledge Wikis for Active Information Seeking

arXiv · AI, language, vision and robotics · article · Aug 30, 2026 · UTC

Flat retrieval-augmented generation treats a corpus as a bag of chunks, discarding document hierarchy and cross document structure. We introduce SearchWiki, a harness framework that synthesizes a corpus into a hierarchical, typed, navigable wiki and trains an agent, WikiResearcher-9B, to retrieve information through multi-turn tool use. The wiki organizes knowledge into three layers - document overviews, cross- document topic pages, and page-level source records; enabling progressive refinement of retrieval when initial lookup misses. We optimize the agent's navigation policy with on-policy re

Read original source ↗ Open in workspace

recordType

paper

region

Global