MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games

arXiv:2603.09022v1 Announce Type: new Abstract: Multiturn, multiagent LLM game evaluations often exhibit substantial runtorun variance. In longhorizon interactions, small early deviations compound across turns and are amplified by multiagent coupling.