SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology

ArXi:2604.17503v1 Announce Type: new Scaling vision-language models into Visual Multiagent Systems (VMAS) is hindered by two coupled issues. First, communication topologies are fixed before inference, leaving them blind to visual content and query context; second, agent reasoning abilities remain static during deployment. These issues reinforce each other: a rigid topology fails to leverage richer agent expertise, while static agents lack incentives to specialize for a given query.