RUMAD: Reinforcement-Unifying Multi-Agent Debate
arXiv:2602.23864v1 Announce Type: new Abstract: Multi-agent debate (MAD) systems leverage collective intelligence to enhance reasoning capabilities, yet existing approaches struggle to simultaneously optimize accuracy, consensus …
Chao Wang, Han Lin, Huaze Tang, Huijing Lin, Wenbo Ding
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