The ProMMA framework evaluates missing modalities at input using a dedicated evaluator, then applies modality-invariant prompt disentanglement, mutual-information dynamic weighting, and multi-level residual prompt connections to deliver state-of-the-art robust performance on sentiment analysis under
Moda lity translation based multimodal sentiment analysis under uncertain missing modali ties
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Evaluation Before Generation: A Paradigm for Robust Multimodal Sentiment Analysis with Missing Modalities
The ProMMA framework evaluates missing modalities at input using a dedicated evaluator, then applies modality-invariant prompt disentanglement, mutual-information dynamic weighting, and multi-level residual prompt connections to deliver state-of-the-art robust performance on sentiment analysis under