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Multi-agent Undercover Gaming: Hallucination Removal via Counterfactual Test for Multimodal Reasoning
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 solution by promoting consensus among multiple agents to enhance reliability, it relies on the unrealistic assumption that
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