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document understanding

Document understanding involves document classification, layout analysis, information extraction, and DocQA.

Papers

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Showing 61–70 of 309 papers

TitleStatusHype
Multimodal Pre-training Based on Graph Attention Network for Document UnderstandingCode1
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document UnderstandingCode1
Value Retrieval with Arbitrary Queries for Form-like DocumentsCode1
DocFormer: End-to-End Transformer for Document UnderstandingCode1
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document UnderstandingCode1
Going Full-TILT Boogie on Document Understanding with Text-Image-Layout TransformerCode1
Towards Robust Visual Information Extraction in Real World: New Dataset and Novel SolutionCode1
A Discrete Variational Recurrent Topic Model without the Reparametrization TrickCode1
MedICaT: A Dataset of Medical Images, Captions, and Textual ReferencesCode1
A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends—0
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