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document understanding

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

Papers

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Showing 91–100 of 309 papers

TitleStatusHype
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding—0
ViRED: Prediction of Visual Relations in Engineering Drawings—0
The MERIT Dataset: Modelling and Efficiently Rendering Interpretable Transcripts—0
DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
SynthDoc: Bilingual Documents Synthesis for Visual Document Understanding—0
Building and better understanding vision-language models: insights and future directions—0
Arctic-TILT. Business Document Understanding at Sub-Billion Scale—0
Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image PyramidCode5
Deep Learning based Visually Rich Document Content Understanding: A Survey—0
Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review—0
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