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document understanding

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

Papers

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Showing 181–190 of 309 papers

TitleStatusHype
LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding—0
PaLI-X: On Scaling up a Multilingual Vision and Language ModelCode1
Pre-training Meets Clustering: A Hybrid Extractive Multi-document Summarization ModelCode0
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content—0
Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language ModelsCode1
DUBLIN -- Document Understanding By Language-Image Network—0
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding—0
Sequence-to-Sequence Pre-training with Unified Modality Masking for Visual Document Understanding—0
DLUE: Benchmarking Document Language Understanding—0
M^6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout AnalysisCode0
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