SOTAVerified

document understanding

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 41–50 of 309 papers

TitleStatusHype
DANIEL: A fast Document Attention Network for Information Extraction and Labelling of handwritten documentsCode1
DocumentCLIP: Linking Figures and Main Body Text in Reflowed DocumentsCode1
CCpdf: Building a High Quality Corpus for Visually Rich Documents from Web Crawl DataCode1
Enhancing Visually-Rich Document Understanding via Layout Structure ModelingCode1
End-to-end Document Recognition and Understanding with DessurtCode1
Hierarchical Multimodal Pre-training for Visually Rich Webpage UnderstandingCode1
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
Docopilot: Improving Multimodal Models for Document-Level UnderstandingCode1
DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
DocQueryNet: Value Retrieval with Arbitrary Queries for Form-like DocumentsCode1
Show:102550
← PrevPage 5 of 31Next →

No leaderboard results yet.