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    <abstract>The field of multimodal document understanding has produced a suite of models that have achieved stellar performance across several tasks, even coming close to human performance on certain benchmarks. Nevertheless, the application of these models to real-world enterprise datasets remains constrained by a number of limitations. In this position paper, we discuss these limitations in the context of three key aspects of research: dataset curation, model development, and evaluation on downstream tasks. By analyzing 14 datasets and 7 SotA models, we identify major gaps in their utility in the context of a real-world scenario. We demonstrate how each limitation impedes the widespread use of SotA models in enterprise settings, and present a set of research challenges that are motivated by these limitations. Lastly, we propose a research agenda that is aimed at driving the field towards higher impact in enterprise applications.</abstract>
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%0 Conference Proceedings
%T Towards a new research agenda for multimodal enterprise document understanding: What are we missing?
%A Nourbakhsh, Armineh
%A Shah, Sameena
%A Rose, Carolyn
%Y Ku, Lun-Wei
%Y Martins, Andre
%Y Srikumar, Vivek
%S Findings of the Association for Computational Linguistics ACL 2024
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand and virtual meeting
%F nourbakhsh-etal-2024-towards
%X The field of multimodal document understanding has produced a suite of models that have achieved stellar performance across several tasks, even coming close to human performance on certain benchmarks. Nevertheless, the application of these models to real-world enterprise datasets remains constrained by a number of limitations. In this position paper, we discuss these limitations in the context of three key aspects of research: dataset curation, model development, and evaluation on downstream tasks. By analyzing 14 datasets and 7 SotA models, we identify major gaps in their utility in the context of a real-world scenario. We demonstrate how each limitation impedes the widespread use of SotA models in enterprise settings, and present a set of research challenges that are motivated by these limitations. Lastly, we propose a research agenda that is aimed at driving the field towards higher impact in enterprise applications.
%U https://aclanthology.org/2024.findings-acl.870
%P 14610-14622

Markdown (Informal)

[Towards a new research agenda for multimodal enterprise document understanding: What are we missing?](https://aclanthology.org/2024.findings-acl.870) (Nourbakhsh et al., Findings 2024)

• Towards a new research agenda for multimodal enterprise document understanding: What are we missing? (Nourbakhsh et al., Findings 2024)

ACL

• Armineh Nourbakhsh, Sameena Shah, and Carolyn Rose. 2024. Towards a new research agenda for multimodal enterprise document understanding: What are we missing?. In Findings of the Association for Computational Linguistics ACL 2024, pages 14610–14622, Bangkok, Thailand and virtual meeting. Association for Computational Linguistics.