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Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems

124 upvotes · 2 SEP 2026 · Yihang Chen, Yuxiang Chen, Yuxuan Huang et al.

This paper develops a game-theoretic approach to multi-agent LLM systems, focusing on coordination, memory improvement, and external verification. Practitioners might care about this work because it provides a unified account of these aspects and introduces a new method, Stochastic Reflective Memory Ascent (SRMA), which can improve the performance of multi-agent LLM systems.

game-theoreticmulti-agent LLMcoordinationstochastic reflectionsemantic memory