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Automatically generated Multi-Agent Systems are not only outperformed by Single-Agent Systems but also exhibit architectural inefficiencies that challenge the very foundations of multi-agent design principles.
Reducing visual token usage by 46% while improving performance shows that CUAs can leverage more historical data effectively without overwhelming compute budgets.
