Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models

In three linesGuided Topology Diffusion (GTD) uses graph diffusion models to dynamically generate optimal communication topologies for multi-agent LLM systems. The iterative framework, guided by a proxy model predicting multi-objective rewards (accuracy, utility, cost), adapts topologies to tasks without gradient-based optimization, outperforming static approaches.

Summary generated by Claude — human-verified