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Author

Min Yang

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#artificial intelligence Review May 2026

SkillMaster: Toward Autonomous Skill Mastery in LLM Agents

This work proposes SkillMaster, a training framework that teaches agents to create new skills, refine existing skills, and select accumulated skills during task solving, and introduces DualAdv-GRPO, which separately estimates advantages for task-solving actions and skill-editing decisions, stabilizing joint training ac...

Min Yang, Jing-Hua Piao, Xuan-Ye Xia et al. · 7 citations
#artificial intelligence Preprint Sep 2026

EnterpriseBench: Benchmarking LLM Agents on Enterprise-Level Strategic Reasoning and Decision-Making

EnterpriseBench is introduced, a benchmark that evaluates LLM agents across this spectrum, from static question answering to dynamic decision-making, and shows that it provides a practical benchmark for evaluating LLM agents in realistic enterprise strategic reasoning and decision-making.

Min Yang, Yi-Chen Pan, Jing-Hua Piao et al. · 0 citations
Jul 2026

From Scoring to Acting: Outcome-Verified Comparative Self-Distillation for LLM Agents

Outcome-Verified Comparative Self-Distillation (OVCSD) is proposed, which organizes failed student rollouts into a prefix tree, adaptively invokes a skill-conditioned teacher from student-reached states, and retains only outcome-verified successful continuations.

Xuanye Xia, Jinghua Piao, Min Yang et al. · 0 citations

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