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document understanding

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

Papers

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Showing 51–60 of 309 papers

TitleStatusHype
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
ARB: A Comprehensive Arabic Multimodal Reasoning BenchmarkCode1
DANIEL: A fast Document Attention Network for Information Extraction and Labelling of handwritten documentsCode1
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document UnderstandingCode1
Adaptive Markup Language Generation for Contextually-Grounded Visual Document UnderstandingCode1
LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real WorldCode1
DocFormerv2: Local Features for Document UnderstandingCode1
On the Affinity, Rationality, and Diversity of Hierarchical Topic ModelingCode1
Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal LearningCode1
A Discrete Variational Recurrent Topic Model without the Reparametrization TrickCode1
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