SOTAVerified

document understanding

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 241–250 of 309 papers

TitleStatusHype
WebFormer: The Web-page Transformer for Structure Information Extraction—0
ERNIE-Layout: Layout-Knowledge Enhanced Multi-modal Pre-training for Document UnderstandingCode0
LoPE: Learnable Sinusoidal Positional Encoding for Improving Document Transformer Model—0
Efficient layout-aware pretraining for multimodal form understanding—0
Deeper Clinical Document Understanding Using Relation ExtractionCode0
Value Retrieval with Arbitrary Queries for Form-like DocumentsCode1
UniDoc: Unified Pretraining Framework for Document Understanding—0
OCR-free Document Understanding TransformerCode3
SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation—0
PSG: Prompt-based Sequence Generation for Acronym Extraction—0
Show:102550
← PrevPage 25 of 31Next →

No leaderboard results yet.