AI RESEARCH
Scaling Behavior of Single LLM-Driven Multi-Agent Systems
arXiv CS.AI
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ArXi:2606.00655v1 Announce Type: cross The burgeoning field of LLM-based Multi-Agent Systems (MAS) promises to tackle complex tasks through collaborative intelligence, yet fundamental questions regarding their scaling behavior and intrinsic collective dynamics remain underexplored. This paper systematically investigates how the performance of a homogeneous MAS evolves as the number of agents increases, isolating the variable of collaboration from model or knowledge heterogeneity.