Author

Weiquan Huang

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#artificial intelligence Conference Jan 2026

AMA: Adaptive Memory via Multi-Agent Collaboration

Adaptive Memory via Multi-Agent Collaboration (AMA), a novel framework that leverages coordinated agents to manage memory across multiple granularities, significantly outperforms state-of-the-art baselines while reducing token consumption by approximately 80% compared to full-context methods.

Weiquan Huang, Zi-Xuan Wang, He-Hai Lin et al. · Annual Meeting of the Associ... · 7 citations · ⚡1

#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