English

Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends

Computation and Language 2025-03-11 v2

Abstract

The field of visually-rich document understanding, which involves interacting with visually-rich documents (whether scanned or born-digital), is rapidly evolving and still lacks consensus on several key aspects of the processing pipeline. In this work, we provide a comprehensive overview of state-of-the-art approaches, emphasizing their strengths and limitations, pointing out the main challenges in the field, and proposing promising research directions.

Keywords

Cite

@article{arxiv.2501.02235,
  title  = {Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends},
  author = {Camille Barboule and Benjamin Piwowarski and Yoan Chabot},
  journal= {arXiv preprint arXiv:2501.02235},
  year   = {2025}
}
R2 v1 2026-06-28T20:56:07.183Z