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Representation misalignment is the hidden bottleneck in multimodal sentiment analysis, and aligning modalities before fusion can yield superior performance.
LLMs can now translate text in web images with significantly improved accuracy and efficiency thanks to a novel visual-aware adaptation framework that bridges the gap between high-level semantics and fine-grained visual details.