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document understanding

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

Papers

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Showing 131–140 of 309 papers

TitleStatusHype
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions—0
Calculating Semantic Similarity between Academic Articles using Topic Event and Ontology—0
DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding—0
Building and better understanding vision-language models: insights and future directions—0
A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends—0
KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding—0
BuDDIE: A Business Document Dataset for Multi-task Information Extraction—0
DocMamba: Efficient Document Pre-training with State Space Model—0
A Survey and Approach to Chart Classification—0
DocLLM: A layout-aware generative language model for multimodal document understanding—0
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