4 papers · 1 filter
DocHop-QA: Towards Multi-Hop Reasoning over Multimodal Document Collections
Jiwon Park, Seohyun Pyeon, Jinwoo Kim +4
Despite rapid progress in large language models (LLMs), current QA benchmarks still overlook the core challenge of real-world scientific information seeking: synthesizing multimoda…
Deep Learning based Visually Rich Document Content Understanding: A Survey
Yihao Ding, Soyeon Caren Han, Jean Lee +1
Visually Rich Documents (VRDs) play a vital role in domains such as academia, finance, healthcare, and marketing, as they convey information through a combination of text, layout,…
3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding
Yihao Ding, Lorenzo Vaiani, Caren Han +4
This paper presents a groundbreaking multimodal, multi-task, multi-teacher joint-grained knowledge distillation model for visually-rich form document understanding. The model is de…
Graph Neural Networks for Text Classification: A Survey
Kunze Wang, Yihao Ding, Soyeon Caren Han
Text Classification is the most essential and fundamental problem in Natural Language Processing. While numerous recent text classification models applied the sequential deep learn…