2 papers
cs.AI2026
Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures
Zixiang Wang, Mengjia Gong, Qiyu Sun +5
With the rapid advancement of artificial intelligence, multi-agent systems (MASs) are evolving from classical paradigms toward architectures built upon large foundation models (LFM…
cs.AI2026
Bilevel Optimization of Agent Skills via Monte Carlo Tree Search
Chenyi Huang, Haoting Zhang, Jingxu Xu +2
Agent \texttt{skills} are structured collections of instructions, tools, and supporting resources that help large language model (LLM) agents perform particular classes of tasks. E…