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cs.LG2026
QASA: Quality-Aware Semantic Augmentation for Robust Multimodal Sentiment Analysis
Jiazhang Liang, Jianheng Dai, Miaosen Luo +2
Multimodal large language models have demonstrated strong ability in capturing semantic representations for multimodal sentiment analysis. Their capacity to learn stable and genera…
cs.LG2025
Disentangling Bias by Modeling Intra- and Inter-modal Causal Attention for Multimodal Sentiment Analysis
Menghua Jiang, Yuxia Lin, Baoliang Chen +3
Multimodal sentiment analysis (MSA) aims to understand human emotions by integrating information from multiple modalities, such as text, audio, and visual data. However, existing m…