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cs.AI2026
Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning
Dayong Liang, Kaisong Gong, Yi Cai +2
Existing multi-agent debate frameworks suffer from two critical limitations: they rely on static architectures where agent roles and coordination patterns are fixed at design time,…
cs.AI2025
Multi-agent Undercover Gaming: Hallucination Removal via Counterfactual Test for Multimodal Reasoning
Dayong Liang, Xiao-Yong Wei, Changmeng Zheng
Hallucination continues to pose a major obstacle in the reasoning capabilities of large language models (LLMs). Although the Multi-Agent Debate (MAD) paradigm offers a promising so…
cs.AI2024
A Picture Is Worth a Graph: A Blueprint Debate Paradigm for Multimodal Reasoning
Changmeng Zheng, Dayong Liang, Wengyu Zhang +3
This paper presents a pilot study aimed at introducing multi-agent debate into multimodal reasoning. The study addresses two key challenges: the trivialization of opinions resultin…