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document understanding

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

Papers

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Showing 181–190 of 309 papers

TitleStatusHype
Deep Learning based Visually Rich Document Content Understanding: A Survey—0
Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models—0
WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild?—0
VRDU: A Benchmark for Visually-rich Document Understanding—0
Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding—0
A LayoutLMv3-Based Model for Enhanced Relation Extraction in Visually-Rich Documents—0
A Multi-Modal Multilingual Benchmark for Document Image Classification—0
Arctic-TILT. Business Document Understanding at Sub-Billion Scale—0
A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications—0
A Simple yet Effective Layout Token in Large Language Models for Document Understanding—0
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