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Multi-modal multi-agent debate-based dialectical knowledge transfer learning

delete2025-08-05
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PRE
AI
H
Haotian Wang
W
Weijiang Yu
X
Xiyuan Du
Q
Qianglong Chen
Z
Zheng Chu
L
Lian Yan
J
Jingchi Jiang
Y
Yi Guan *
DOI:10.1016/j.asoc.2025.113551delete
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Abstract

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

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

H
harbin institute of technology
Scholars:
8.0W
Papers: 6.6W
Citations: 66
S
sun yat-sen university
Scholars:
1.9W
Papers: 6.4K
Citations: 14
Z
zhejiang university
Scholars:
17.2W
Papers: 11.9W
Citations: 152
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