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Simulating professional organizations with persistent context and delegation unlocks emergent agent capabilities, outperforming single- and multi-agent baselines on complex professional tasks.
Optimize prompts for multi-agent systems using LLMs with a new bandit-based approach that uses GNNs to capture topology-aware prompt semantics, achieving state-of-the-art performance.