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document understanding

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

Papers

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Showing 121–130 of 309 papers

TitleStatusHype
Multi-Page Document Visual Question Answering using Self-Attention Scoring MechanismCode0
Machine Unlearning for Document ClassificationCode0
A LayoutLMv3-Based Model for Enhanced Relation Extraction in Visually-Rich Documents—0
Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach—0
HRVDA: High-Resolution Visual Document Assistant—0
LayoutLLM: Layout Instruction Tuning with Large Language Models for Document UnderstandingCode0
BuDDIE: A Business Document Dataset for Multi-task Information Extraction—0
OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition—0
Can AI Models Appreciate Document Aesthetics? An Exploration of Legibility and Layout Quality in Relation to Prediction Confidence—0
Visually Guided Generative Text-Layout Pre-training for Document IntelligenceCode2
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