2 papers
cs.SE2026
Ecdysis: Efficient and Effective Training of Runtime Harnesses for LLM Agents
Ruiqing Yue, Yu Cui, Zhuoyu Sun +11
Self-evolving runtime harnesses can substantially improve the capabilities of large language model (LLM) agents and provide a promising paradigm for optimizing agent execution. Exi…
cs.LG2025
DAOpt: Modeling and Evaluation of Data-Driven Optimization under Uncertainty with LLMs
WenZhuo Zhu, Zheng Cui, Wenhan Lu +2
Recent advances in large language models (LLMs) have accelerated research on automated optimization modeling. While real-world decision-making is inherently uncertain, most existin…