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document understanding

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

Papers

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Showing 41–50 of 309 papers

TitleStatusHype
CAMEL-Bench: A Comprehensive Arabic LMM BenchmarkCode1
DocFormerv2: Local Features for Document UnderstandingCode1
CCpdf: Building a High Quality Corpus for Visually Rich Documents from Web Crawl DataCode1
Docopilot: Improving Multimodal Models for Document-Level UnderstandingCode1
DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine ReadingCode1
DocumentCLIP: Linking Figures and Main Body Text in Reflowed DocumentsCode1
DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
Document Understanding Dataset and Evaluation (DUDE)Code1
Hierarchical Multimodal Pre-training for Visually Rich Webpage UnderstandingCode1
Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural NetworksCode1
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