Document Intelligence

In today’s digital and connected environments, documents are playing an increasingly central role in human communications and workplace productivity. Document intelligence focuses on reinventing the document to deliver magical experiences for document creation, consumption, and collaboration. At Adobe, research scientists from multiple disciplinaries, such as natural language understanding, document imaging analysis, and human computer interaction, work together in designing and architecting novel methods to unlock the value in documents. Researchers are exploring deep structural and semantic understanding so that users can easily extract relevant information, navigate in large document collections, and collaborate with others more efficiently and effectively. 

Meet some of our researchersView More

Natwar Modani

Senior Research Manager

Jiuxiang Gu

Research Scientist

Brian Price

Senior Research Scientist

View our latest publicationsView More

LUSIFER: Language Universal Space Integration for Enhanced Representation in Multilingual Text Embedding Models

Man, H., Ngo, N., LAI, V., Rossi, R., Dernoncourt, F., Nguyen, T. (Jul. 17, 2025)

SIGIR 2025

MoDS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections

Balepur, N., Siu, A., Lipka, N., Dernoncourt, F., Sun, T., Boyd-Graber, J., Mathur, P. (May. 2, 2025)

NAACL 2025

VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation

Suri, M., Mathur, P., Dernoncourt, F., Goswami, K., Rossi, R., Manocha, D. (May. 2, 2025)

NAACL 2025

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We are looking for researchers, engineers, and interns to take our technologies to the next level. We're recruiting, and we would love to hear from you!