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Multi-modal multi-agent debate-based dialectical knowledge transfer learning
DOI:10.1016/j.asoc.2025.113551.png)
Abstract
En 中文
• We propose M2D-DKTL to boost small MLLMs via multi-modal multi-agent debates. • Our debate framework reveals cross-modal logic and reduces reasoning errors. • We condense debates into CoD to improve knowledge transfer and complex reasoning.
Keywords:
M2D-DKTL
multi-modal multi-agent debates
cross-modal logic
knowledge transfer
complex reasoning
Journal
IF:
6.6
Papers:
1.4W
Citations:
4.8W

