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document understanding

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

Papers

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Showing 191–200 of 309 papers

TitleStatusHype
Assessing Generative AI value in a public sector context: evidence from a field experiment—0
A Survey and Approach to Chart Classification—0
A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends—0
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions—0
AT-BERT: Adversarial Training BERT for Acronym Identification Winning Solution for SDU@AAAI-21—0
A Token-level Text Image Foundation Model for Document Understanding—0
Attention-Based Graph Neural Network with Global Context Awareness for Document Understanding—0
Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration—0
A User-Centered Concept Mining System for Query and Document Understanding at Tencent—0
Auto-encodeurs pour la compr\'ehension de documents parl\'es (Auto-encoders for Spoken Document Understanding)—0
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