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document understanding

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

Papers

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Showing 21–30 of 309 papers

TitleStatusHype
A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document UnderstandingCode2
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with InstructionsCode2
AIN: The Arabic INclusive Large Multimodal ModelCode2
MMLongBench-Doc: Benchmarking Long-context Document Understanding with VisualizationsCode2
DocFormerv2: Local Features for Document UnderstandingCode1
Adaptive Markup Language Generation for Contextually-Grounded Visual Document UnderstandingCode1
Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural NetworksCode1
DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
DocFormer: End-to-End Transformer for Document UnderstandingCode1
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
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