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document understanding

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

Papers

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Showing 261–270 of 309 papers

TitleStatusHype
3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document UnderstandingCode0
M^6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout AnalysisCode0
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document UnderstandingCode0
Machine Unlearning for Document ClassificationCode0
MarkupLM: Pre-training of Text and Markup Language for Visually-rich Document UnderstandingCode0
MarkupLM: Pre-training of Text and Markup Language for Visually Rich Document UnderstandingCode0
Marten: Visual Question Answering with Mask Generation for Multi-modal Document UnderstandingCode0
Zero-Shot Complex Question-Answering on Long Scientific DocumentsCode0
Pre-training Meets Clustering: A Hybrid Extractive Multi-document Summarization ModelCode0
Matching Article Pairs with Graphical Decomposition and ConvolutionsCode0
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