Evaluation Before Generation: A Paradigm for Robust Multimodal Sentiment Analysis with Missing Modalities

ArXi:2604.05558v1 Announce Type: new The missing modality problem poses a fundamental challenge in multimodal sentiment analysis, significantly degrading model accuracy and generalization in real world scenarios. Existing approaches primarily improve robustness through prompt learning and pre trained models. However, two limitations remain. First, the necessity of generating missing modalities lacks rigorous evaluation. Second, the structural dependencies among multimodal prompts and their global coherence are insufficiently explored.