Author

Siyuan Xiong

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Preprint Aug 2026

SKILLER: Language-Level Reinforcement Learning for Reusable Skill Extraction in Small Language Models

SKILLER is a natural-language-driven reinforcement learning framework designed to automatically generate executor-specific skills for small models, which employs a strong model as the actor and critic, treats the small-model agent system as the environment, and propagates all reinforcement learning signals entirely via...

Chen-Hao Dang, Siyuan Xiong, Cong-Hui He et al. · 4 citations