SOTAVerified

document understanding

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

Papers

Showing 2130 of 309 papers

TitleStatusHype
AIN: The Arabic INclusive Large Multimodal ModelCode2
ICDAR 2021 Competition on Scientific Literature ParsingCode2
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with InstructionsCode2
One missing piece in Vision and Language: A Survey on Comics UnderstandingCode2
DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural NetworksCode1
Adaptive Markup Language Generation for Contextually-Grounded Visual Document UnderstandingCode1
DocFormer: End-to-End Transformer for Document UnderstandingCode1
DocFormerv2: Local Features for Document UnderstandingCode1
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
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