AI RESEARCH
Hear Both Sides: Efficient Multi-Agent Debate via Diversity-Aware Message Retention
arXiv CS.CL
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ArXi:2603.20640v1 Announce Type: new Multi-Agent Debate has emerged as a promising framework for improving the reasoning quality of large language models through iterative inter-agent communication. However, broadcasting all agent messages at every round