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Codebook Agent: Amortized Topology Design for LLM Multi-Agent Systems

Yu, Jinxi et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learningmultiagent-systems
Adapting the communication topology of an LLM multi-agent system to each query improves both accuracy and efficiency, yet current designers treat this as conditional graph generation: a variational, autoregressive, or diffusion decoder searches the $N \times N$ adjacency space, and a graph-network p
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