Author

Tat-Seng Chua

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Preprint Aug 2026

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

Fetch-then-Explore is proposed, which separates page selection from evidence extraction and keeps what it selects: pages are recorded in a per-question workspace on the filesystem rather than the context window or a transient session, and evidence is pulled from them on demand later.

Qi Liu, Yi-Qun Chen, Zidan Chen et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Clearing the Fog: Towards Installing and Refining Proactive Exploration Capabilities in LLM Agents

This work proposes \the authors', a novel method designed to instill and refine proactive exploration in LLM agents, which consists of two components: Exploratory Data Construction, which synthesizes exploration-rich trajectories to mitigate the hindsight bias of standard demonstrations; and RL Optimization with Contra...

Zhizhao Guan, Chen Huang, Zi-Ming Liu et al. · 1 citation