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cs.CV2025
A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends
Yihao Ding, Siwen Luo, Yue Dai +6
Visually Rich Document Understanding (VRDU) has become a pivotal area of research, driven by the need to automatically interpret documents that contain intricate visual, textual, a…
cs.CV2025
Enhancing Document Key Information Localization Through Data Augmentation
Yue Dai
The Visually Rich Form Document Intelligence and Understanding (VRDIU) Track B focuses on the localization of key information in document images. The goal is to develop a method ca…
cs.CL2025
Graph-Based Multimodal Contrastive Learning for Chart Question Answering
Yue Dai, Soyeon Caren Han, Wei Liu
Chart question answering (ChartQA) is challenged by the heterogeneous composition of chart elements and the subtle data patterns they encode. This work introduces a novel joint mul…