Enhance-then-Balance Modality Collaboration for Robust Multimodal Sentiment Analysis
Kang He · Yuzhe Ding · Xinrong Wang · Fei Li · Chong Teng · Donghong Ji
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Kang He · Yuzhe Ding · Xinrong Wang · Fei Li · Chong Teng · Donghong Ji
Li Zheng · Yanyi Luo · Hao Fei · Yuzhe Ding · Yujie Huang · Fei Li · Chong Teng · Donghong Ji
Deception detection is of great significance for ensuring information security and conducting public opinion analysis, with personality factors and emotion cues playing a critical role. However, existing methods lack sample-level dynamic annotations for emotions and personality. In this paper, we...
Li Zheng · Xin Zhang · Shuyi He · Fei Li · Chong Teng · Jiang-Ming Yang · Donghong Ji · Zhuang Li
Accurate comprehension and controllable generation of emotion and rhetoric are pivotal for enhancing the reasoning capabilities of large language models (LLMs). Existing studies mostly rely on external optimizations, lacking in-depth exploration of internal representation mechanisms, thus failing...
Kang He · Yuzhe Ding · Rao Fu · Yukang Feng · Kaipeng Zhang · Yiming Liu · Fei Li · Chong Teng · Donghong Ji
Multimodal sentiment analysis (MSA) in real-world scenarios is often challenged by dynamically missing modalities. Existing methods predominantly rely on deterministic imputation and rigid alignment, which compels the model to overfit noise in ambiguous regions while neglecting the decision shift...
Kang He · Boyu Chen · Yuzhe Ding · Fei Li · Chong Teng · Donghong Ji