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MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning

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We propose a multi-agent collaborative framework built upon a lightweight Multimodal Large Language Model (MLLM), specifically designed for social intelligence reasoning. A key feature of our approach is that both the training and inference phases are augmented via knowledge distillation.

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arXiv AI
Jun 11

MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning

arXiv:2606. 12018v1 Announce Type: new Abstract: We propose a multi-agent collaborative framework built upon a lightweight Multimodal Large Language Model (MLLM), specifically designed for social intelligence reasoning.

By Shang Ma, Jisheng Dang, Wencan Zhang, Yifan Zhang, Bimei Wang, Hong Peng, Bin Hu, Qi Tian, Tat-Seng Chua
arXiv AI
Jun 2

Latent Collaboration in Multi-Agent Systems

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By Jiaru Zou, Ruizhong Qiu, Gaotang Li, Xiyuan Yang, Katherine Tieu, Pan Lu, Ke Shen, Hanghang Tong, Yejin Choi, Jingrui He, James Zou, Mengdi Wang, Ling Yang
arXiv AI
Aug 24

Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning

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arXiv AI
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arXiv AI
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Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale

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