AIBullisharXiv – CS AI · 5h ago6/10
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Dual Latent Memory for Visual Multi-agent System
Researchers propose L²-VMAS, a framework addressing the 'scaling wall' problem in Visual Multi-Agent Systems where adding more agents degrades performance despite higher computational costs. The solution uses dual latent memory and entropy-driven triggering to improve accuracy by 2.7-5.4% while reducing token usage by 21.3-44.8%.