AI RESEARCH
QASA: Quality-Aware Semantic Augmentation for Robust Multimodal Sentiment Analysis
arXiv CS.AI
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ArXi:2601.06870v2 Announce Type: replace-cross Multimodal large language models have nstrated strong ability in capturing semantic representations for multimodal sentiment analysis. Their capacity to data. To address this, we propose QASA (Quality-Aware Semantic Augmentation), which uses diffusion models to generate augmented visual and auditory samples, thereby enlarging the