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Yubin Kim is a research scientist at Google DeepMind.
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Towards a science of scaling agent systems: When and why agent systems work
Google ResearchresearchpositiveJan 29, 2026
Multi-agent coordination dramatically improves performance on parallelizable tasks but degrades it on sequential ones; a predictive model identifies optimal architecture for 87% of unseen tasks through evaluation of 180 agent configurations.
“Author of "Towards a science of scaling agent systems: When and why agent systems work" in Google Research”
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