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document understanding

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

Papers

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Showing 151–160 of 309 papers

TitleStatusHype
WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl DataCode1
Privacy-Aware Document Visual Question AnsweringCode1
SLJP: Semantic Extraction based Legal Judgment Prediction—0
Towards Improving Document Understanding: An Exploration on Text-Grounding via MLLMsCode1
DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding—0
Efficient End-to-End Visual Document Understanding with Rationale Distillation—0
DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency—0
A Multi-Modal Multilingual Benchmark for Document Image Classification—0
DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine ReadingCode1
DocXChain: A Powerful Open-Source Toolchain for Document Parsing and Beyond—0
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