AI RESEARCH
WildTableBench: Benchmarking Multimodal Foundation Models on Table Understanding In the Wild
arXiv CS.CV
•
ArXi:2605.01018v1 Announce Type: new Using multimodal foundation models to analyze table images is a high-value yet challenging application in consumer and enterprise scenarios. Despite its importance, current evaluations rely largely on structured-text tables or clean rendered images, leaving the visual complexity of in-the-wild table images underexplored. Such images feature varied layouts and diverse domains that demand sophisticated structural perception and numerical reasoning. To bridge this gap, we.