arXiv — cs.AI preprintsInternational12 October 2026
DREAM: Dynamic Resolution Assignment For Multimodal Multi-agent Debate
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arXiv:2610.05615v2 Announce Type: replace Abstract: Multi-agent debate (MAD) has emerged as an effective paradigm to improve the reasoning capabilities of large language models (LLMs) and is increasingly being extended to multimodal settings. However, existing multimodal MAD frameworks typically expose agents to the same fixed visual input, ignoring substantial variation in the visual scale needed across samples and agents. In addition, these frameworks frequently suffer from groupthink, a phenomenon where agents prematurely abandon correct deductions to conform with confident but hallucinated
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