Coordination treated as a separable architectural layer in LLM multi-agent systems yields distinguishable Murphy-decomposed performance signatures on prediction-market tasks, with some configurations dominating a cost-quality Pareto frontier.
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DynAMO applies topological scheduling to LLM agent workflows for industrial asset management, claiming 1.6-1.8x latency reduction on AssetOpsBench while preserving safety and showing model inference as the main bottleneck.
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Coordination as an Architectural Layer for LLM-Based Multi-Agent Systems
Coordination treated as a separable architectural layer in LLM multi-agent systems yields distinguishable Murphy-decomposed performance signatures on prediction-market tasks, with some configurations dominating a cost-quality Pareto frontier.
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DynAMO:Dynamic Asset Management Orchestration via Topological Multi-Agent Scheduling
DynAMO applies topological scheduling to LLM agent workflows for industrial asset management, claiming 1.6-1.8x latency reduction on AssetOpsBench while preserving safety and showing model inference as the main bottleneck.