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cs.MM2026
Rethinking Fusion: Disentangled Learning of Shared and Modality-Specific Information for Stance Detection
Zhiyu Xie, Fuqiang Niu, Genan Dai +4
Multi-modal stance detection (MSD) aims to determine an author's stance toward a given target using both textual and visual content. While recent methods leverage multi-modal fusio…
cs.MM2024
Multimodal Multi-turn Conversation Stance Detection: A Challenge Dataset and Effective Model
Fuqiang Niu, Zebang Cheng, Xianghua Fu +5
Stance detection, which aims to identify public opinion towards specific targets using social media data, is an important yet challenging task. With the proliferation of diverse mu…