SOTAVerified

document understanding

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

Papers

Showing 91100 of 309 papers

TitleStatusHype
Learned Compression for Compressed LearningCode0
LayoutLLM: Layout Instruction Tuning with Large Language Models for Document UnderstandingCode0
Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding ModelsCode0
Is ChatGPT A Good Keyphrase Generator? A Preliminary StudyCode0
Information Redundancy and Biases in Public Document Information Extraction BenchmarksCode0
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document UnderstandingCode0
Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document ParsingCode0
Improving Clinical Document Understanding on COVID-19 Research with Spark NLPCode0
Machine Unlearning for Document ClassificationCode0
Information Extraction from Visually Rich Documents Using Directed Weighted Graph Neural NetworkCode0
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