SOTAVerified

document understanding

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–210 of 309 papers

TitleStatusHype
Automated Parsing of Engineering Drawings for Structured Information Extraction Using a Fine-tuned Document Understanding Transformer—0
Automatic Knowledge Extraction with Human Interface—0
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content—0
BERT-AL: BERT for Arbitrarily Long Document Understanding—0
BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks—0
Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding—0
BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations—0
BROS: A Pre-trained Language Model for Understanding Texts in Document—0
BuDDIE: A Business Document Dataset for Multi-task Information Extraction—0
Building and better understanding vision-language models: insights and future directions—0
Show:102550
← PrevPage 21 of 31Next →

No leaderboard results yet.