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cs.LG2026
Bayes-Sufficient Compression Is Not Enough: How Does Communication Help Multi-Agent Systems?
Yi Xie, Zhanke Zhou, Yi Fan +3
Multi-agent LLM systems pair a sender with broad context and an executor with a limited local view. We study when a short message improves the executor's next decision, when raw co…
cs.LG2026
DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination
Yi Xie, Zhanke Zhou, Chentao Cao +2
Multi-agent large language model (LLM) systems often fail to reliably outperform a single strong model equipped with best-of-N sampling. We argue that a core source of this instabi…