3 papers
cs.LG2026
Reinforced Collaboration in Multi-Agent Flow Networks
Zheng Wang, Yuang Liu, Yangkai Ding
Multi-agent systems provide a powerful way to extend large language models (LLMs) by decomposing a complex task into specialized subtasks handled by different agents. However, thei…
cs.AI2026
Ace-Skill: Bootstrapping Multimodal Agents with Prioritized and Clustered Evolution
Feng Xiong, Zengbin Wang, Yong Wang +5
Self-evolving agents present a promising path toward continual adaptation by distilling task interactions into reusable knowledge artifacts. In practice, this paradigm remains hind…
cs.LG2026
The Reciprocity Gradient
Yue Lin, Pascal Poupart, Shuhui Zhu +5
Communication is fundamental to sustaining reciprocity and cooperation in strategic interactions. We identify and formulate the influence attribution problem as the central optimiz…