Author

Zang Li

2 papers indexed here

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#artificial intelligence Preprint Sep 2026

SkillAdam: Stable and Efficient Skill Evolution for Agents

SkillAdam, an Adam-inspired framework for optimizing discrete and non-differentiable skill documents, is introduced, an Adam-inspired framework for optimizing discrete and non-differentiable skill documents with substantially fewer optimization iterations and lower cost than prior methods.

Gao-Yuan Li, Mei-Hao Fan, Yi-Zhe Liu et al. · 1 citation

#artificial intelligence May 2026

Exploring Autonomous Agentic Data Engineering for Model Specialization

This study formalizes Autonomous Agentic Data Engineering, a novel task designed to evaluate LLMs as autonomous data engineers that drive model specialization through end-to-end data curation, and charts a path toward agent-driven model specialization.

Yujie Luo, Xiangyuan Ru, Jingsheng Zheng et al. · arXiv.org · 2 citations