The VRD-IU competition results show that hierarchical decomposition and pretrained multimodal transformers are effective for form key-information extraction and localization, but the paper lacks baseline comparisons and contains internal inconsistencies.
Visual instruction tuning.Advances in neural information processing systems, 36,
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VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding
The VRD-IU competition results show that hierarchical decomposition and pretrained multimodal transformers are effective for form key-information extraction and localization, but the paper lacks baseline comparisons and contains internal inconsistencies.