SOTAVerified

document understanding

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 71–80 of 309 papers

TitleStatusHype
LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding—0
MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding—0
CAMEL-Bench: A Comprehensive Arabic LMM BenchmarkCode1
Data-driven Coreference-based Ontology BuildingCode0
"What is the value of templates?" Rethinking Document Information Extraction Datasets for LLMs—0
Harnessing Webpage UIs for Text-Rich Visual Understanding—0
DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive PerceptionCode9
ChuLo: Chunk-Level Key Information Representation for Long Document ProcessingCode0
ReLayout: Towards Real-World Document Understanding via Layout-enhanced Pre-training—0
LLMMapReduce: Simplified Long-Sequence Processing using Large Language ModelsCode4
Show:102550
← PrevPage 8 of 31Next →

No leaderboard results yet.