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document understanding

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

Papers

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Showing 201–210 of 309 papers

TitleStatusHype
A Survey and Approach to Chart Classification—0
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding—0
DocumentNet: Bridging the Data Gap in Document Pre-Training—0
Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding ModelsCode0
Table Detection for Visually Rich Document ImagesCode0
LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding—0
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
DUBLIN -- Document Understanding By Language-Image Network—0
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding—0
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