AINeutralarXiv – CS AI · 3h ago6/10
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SKILLC: Learning Autonomous Skill Internalization in LLM Agents via Contrastive Credit Assignment
Researchers introduce SkillC, a reinforcement learning framework that enables LLM agents to internalize external skills during training rather than relying on them at runtime. The method uses contrastive credit assignment to distinguish skill-dependent from autonomous success, achieving 4.4-5.5% performance improvements over prior internalization approaches on complex tasks.