AI RESEARCH
EMS: Multi-Agent Voting via Efficient Majority-then-Stopping
arXiv CS.AI
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ArXi:2604.02863v1 Announce Type: new Majority voting is the standard for aggregating multi-agent responses into a final decision. However, traditional methods typically require all agents to complete their reasoning before aggregation begins, leading to significant computational overhead, as many responses become redundant once a majority consensus is achieved. In this work, we formulate the multi-agent voting as a reliability-aware agent scheduling problem, and propose an Efficient Majority-then-Stopping (EMS) to improve reasoning efficiency.