Author

Zhaochen Su

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#artificial intelligence May 2026

SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision

Evaluated across three main benchmarks, two domain-specific studies, and six LLMs, SkillRevise substantially outperforms one-shot baselines, and the revised skills transfer across both executors and task environments, suggesting that SkillRevise captures reusable procedural knowledge beyond any single executor.

Yuxuan Liu, Zhao-Chen Su, Lin Xie et al. · arXiv.org · 17 citations

Preprint Jul 2026

Rethinking Self-Evolving Agent Skills: Feedback Dynamics over Multiple Rounds

Overall, persistent skill self-evolution is better understood as sparse, validation-filtered search with model- and benchmark-dependent returns, rather than steady improvement from additional rounds.

Yuxuan Liu, Zhaochen Su, Yuhao Zhang et al. · 2 citations