Author

Jiqian Dong

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#artificial intelligence Preprint Sep 2026

SkillVine: Agent Skill Evolution via Branching Exploration

Agent skills encapsulate reusable procedural knowledge that enables LLM agents to perform tasks, and they can be improved automatically using trajectories from interactions with the environment. This is the classic problem of skill evolution. Existing approaches predominately follow a linear evolution paradigm, in whic...

Kai-Wei Liu, Ji-Qian Dong, Li-Ran Dong et al. · 0 citations

Preprint Aug 2026

ScienceFlow: A long-horizon agent for ML research, scientific discovery and beyond

Results on diverse long-horizon benchmarks demonstrate the efficacy of ScienceFlow's ability to sustain effective research processes, and demonstrates that efficient state management, adaptive exploration, and objective-aligned execution are critical for scaling autonomous research beyond short-horizon interactions.

Ming-Ming Zhao, Jiqian Dong, Kangping Xu et al. · 0 citations