Deep Learning based Visually Rich Document Content Understanding: A Survey

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Deep Learning based Visually Rich Document Content Understanding: A Survey

2 August 2024

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Papers citing "Deep Learning based Visually Rich Document Content Understanding: A Survey"

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Title
Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding Sensen Gao Shanshan Zhao Xu Jiang Lunhao Duan Yong Xien Chng Qing-Guo Chen Weihua Luo Kaifu Zhang Jia-Wang Bian Mingming Gong 162 0 0 17 Oct 2025
Document Intelligence in the Era of Large Language Models: A Survey Weishi Wang Hengchang Hu Zhijie Zhang Zhaochen Li Hongxin Shao Daniel Dahlmeier AI4TS 120 0 0 15 Oct 2025
DocPruner: A Storage-Efficient Framework for Multi-Vector Visual Document Retrieval via Adaptive Patch-Level Embedding Pruning Yibo Yan Guangwei Xu Xin Zou Shuliang Liu James Kwok Xuming Hu 132 4 0 28 Sep 2025
LLM/Agent-as-Data-Analyst: A Survey Zirui Tang Weizheng Wang Z. Zhou Yang Jiao Bangrui Xu ... Conghui He Bin Wang Conghui He Xiaoyang Wang Fan Wu 154 5 0 28 Sep 2025
Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice Processing David Berghaus Armin Berger L. Hillebrand K. Cvejoski R. Sifa 44 0 0 29 Aug 2025
Multimodal Large Language Models for Text-rich Image Understanding: A Comprehensive ReviewAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Pei Fu Tongkun Guan Zining Wang Zhentao Guo Chen Duan ... Boming Chen Jiayao Ma Qianyi Jiang Kai Zhou Junfeng Luo VLM 367 1 0 23 Feb 2025
DAViD: Domain Adaptive Visually-Rich Document Understanding with Synthetic Insights Yihao Ding S. Han Zechuan Li Hyunsuk Chung 137 3 0 02 Oct 2024