Author

Minzhi Li

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#artificial intelligence Preprint Oct 2026

MAS-Gate: Unlocking Multi-Agent System Lifecycle via Node-Centric Quantification

Large language model (LLM)-based multi-agent systems (MAS) can solve complex problems beyond the reach of a single agent by decomposing tasks and coordinating complementary capabilities. Despite extensive research on MAS, existing work largely focuses on specific aspects or individual phases of their development and op...

He-Hai Lin, Zi-Xuan Wang, Ming Yan et al. · 1 citation

#artificial intelligence Mar 2026

Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems

Unified-MAS is proposed that decouples granular node implementation from topological orchestration via offline node synthesis via offline node synthesis and is robustness across different designer LLMs and its effectiveness on conventional tasks such as mathematical reasoning.

Hehai Lin, Yuliang Yan, Zixuan Wang et al. · arXiv.org · 2 citations