SOTAVerified

document understanding

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 191–200 of 309 papers

TitleStatusHype
Document Understanding Dataset and Evaluation (DUDE)Code1
Two to Five Truths in Non-Negative Matrix Factorization—0
Revisiting Table Detection Datasets for Visually Rich Documents—0
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction—0
LineFormer: Rethinking Line Chart Data Extraction as Instance SegmentationCode1
CCpdf: Building a High Quality Corpus for Visually Rich Documents from Web Crawl DataCode1
Information Redundancy and Biases in Public Document Information Extraction BenchmarksCode0
What Makes a Good Dataset for Symbol Description Reading?—0
PDFVQA: A New Dataset for Real-World VQA on PDF Documents—0
Is ChatGPT A Good Keyphrase Generator? A Preliminary StudyCode0
Show:102550
← PrevPage 20 of 31Next →

No leaderboard results yet.