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document understanding

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

Papers

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Showing 91–100 of 309 papers

TitleStatusHype
Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding—0
ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding—0
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling—0
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding—0
A Multi-Modal Multilingual Benchmark for Document Image Classification—0
DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency—0
A LayoutLMv3-Based Model for Enhanced Relation Extraction in Visually-Rich Documents—0
DUBLIN -- Document Understanding By Language-Image Network—0
Efficient End-to-End Visual Document Understanding with Rationale Distillation—0
DOGE: Towards Versatile Visual Document Grounding and Referring—0
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