A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends.

Ding Y, Luo S, Dai Y, Jiang Y, Li Z, Sun Q, Martin G, Liu W, Peng Y

DOI: 10.18653/v1/2026.findings-acl.652
Published: 2026 Jul
Container: Findings of ACL. ACL
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.18653/v1/2026.findings-acl.652,
  title = {A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends.},
  author = {Ding Y and Luo S and Dai Y and Jiang Y and Li Z and Sun Q and Martin G and Liu W and Peng Y},
  year = {2026},
  journal = {Findings of ACL. ACL},
  doi = {10.18653/v1/2026.findings-acl.652},
  url = {https://doi.org/10.18653/v1/2026.findings-acl.652}
}

RIS

TY  - JOUR
TI  - A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends.
AU  - Ding Y
AU  - Luo S
AU  - Dai Y
AU  - Jiang Y
AU  - Li Z
AU  - Sun Q
AU  - Martin G
AU  - Liu W
AU  - Peng Y
PY  - 2026
JO  - Findings of ACL. ACL
DO  - 10.18653/v1/2026.findings-acl.652
UR  - https://doi.org/10.18653/v1/2026.findings-acl.652
ER  -

APA

Y, D., S, L., Y, D., Y, J., Z, L., Q, S., G, M., W, L., & Y, P. (2026). A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends.. Findings of ACL. ACL. https://doi.org/10.18653/v1/2026.findings-acl.652

Source records

pubmed · retrieved 2026-09-26T00:39:00.980Z