SOTAVerified

document understanding

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

Papers

Showing 7180 of 309 papers

TitleStatusHype
3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document UnderstandingCode0
M^6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout AnalysisCode0
Deeper Clinical Document Understanding Using Relation ExtractionCode0
LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document UnderstandingCode0
Learned Compression for Compressed LearningCode0
Data-driven Coreference-based Ontology BuildingCode0
Knowing Where and What: Unified Word Block Pretraining for Document UnderstandingCode0
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document UnderstandingCode0
LayoutLLM: Layout Instruction Tuning with Large Language Models for Document UnderstandingCode0
Class-Agnostic Region-of-Interest Matching in Document ImagesCode0
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