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Mor Ventura

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MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image

This work introduces MulTaBench, a benchmark of 40 datasets, split equally between image-tabular and text-tabular tasks, designed to enable the research of novel architectures which incorporate joint modeling and target-aware representations, paving the way for the development of novel Multimodal Tabular Foundation Mod...

Alan Arazi, Eilam Shapira, Shoham Grunblat et al. · 3 citations

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