Author

Xinle Yu

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#artificial intelligence Preprint Oct 2026

SkillNEO: Non-Elitist Evolutionary Optimization of Agent Skills

Agent skills turn procedural knowledge into reusable artifacts, allowing LLM agents to accumulate and refine expertise through experience. Building on this, skill evolution iteratively improves skills using execution feedback. However, improvement may require several interdependent edits, so low-reward versions can sti...

En-Ze Ma, Chun-Yu Miao, Yan-Kai Chen et al. · 0 citations

#artificial intelligence Preprint Sep 2026

PrimeScientist: Strategic Allocation of Research Effort in Autonomous Research

This work introduces PrimeScientist, which jointly determines research direction and resource investment across successive research attempts, and proposes an adaptive MCTS-based allocation policy that balances exploration and exploitation using experimental feedback and remaining resources.

Xin-Le Yu, Fan Bai, Kaiser Sun et al. · 1 citation