Author

Xinbing Liang

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#artificial intelligence Preprint Oct 2026

LifeSearch: Benchmarking Deep Research Agents for Real-World Life and Productivity

Deep research (DR) agents address open-ended information needs through multi-step reasoning, long-horizon web search, and evidence synthesis. However, existing benchmarks primarily focus on academic research or synthetic tasks, leaving DR agents'capabilities in real-world life and professional productivity settings ins...

Yi-Bo Wang, Sen-Jie Jin, Yansong NING et al. · 0 citations

Preprint Aug 2026

CAFE: Self-Improving Search Agents Need Co-Evolving Feedback

CAFE (Coupled Agent--Feedback Evolution), a framework in which a shared-parameter model alternates between search-agent and critic roles, is introduced, suggesting that a self-improving search agent needs feedback that co-evolves with the policy it guides.

Bo-Yang Liu, Sen-Jie Jin, Pei-Xin Wang et al. · 2 citations