Author

Alan Arazi

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#machine learning May 2026

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. · arXiv.org · 3 citations

Jun 2026

Beyond IID: How General Are Tabular Foundation Models, Really?

BeyondArena is the first unified holistic benchmark for tabular data that supports diverse task types (IID, temporal, grouped), across sample size and feature dimensionality scales, with diverse feature types from a broad range of disciplines.

Lennart Purucker, Andrej Tschalzev, Nick Erickson et al. · arXiv.org · 2 citations