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MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
Tabular Foundation Models have recently established the state of the art in supervised tabular learning, by leveraging pretraining to learn generalizable representations of numerical and categorical structured data. However, they lack native support for unstructured modalities such as text and image
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