MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
MulTaBench is a new benchmark testing Multimodal Tabular Foundation Models by combining structured data with text and images. It forces models to learn representations that are explicitly tailored to specific tasks, ensuring both modalities provide complementary predictive signals. This rigorous framework aims to advance the development of truly multimodal learning systems for tabular data.