most citedM2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference

2 citations · 2 across the 3 of their papers we have counts for

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cs.MA2026

Discovering Efficient and Explainable Communication Topologies for LLM-based Multi-Agent Systems via Causal Inference

Junzhi Li, Peng He, Qirui Ji +3

The performance of large language model (LLM)-based multi-agent systems (MAS) largely depends on effective communication topologies. Existing topology generation methods, however,…

cs.MA2024★ 2 cited

M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference

Chuxiong Sun, Peng He, Qirui Ji +4

Communication is essential in coordinating the behaviors of multiple agents. However, existing methods primarily emphasize content, timing, and partners for information sharing, of…