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document understanding

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

Papers

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Showing 161–170 of 309 papers

TitleStatusHype
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
LayoutLLM: Large Language Model Instruction Tuning for Visually Rich Document Understanding—0
mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding—0
Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models—0
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