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

Brian Price

Senior Research Scientist

Ruiyi Zhang

Research Scientist

Nandakishore Kambhatla

Head of Adobe Research Lab, India

View our latest publicationsView More

Multi-LLM Debiasing Framework

Owens, D., Rossi, R., Kim, S., Yu, T., Dernoncourt, F., Chen, X., Zhang, R., Gu, J., Deilamsalehy, H., Lipka, N. (Sep. 10, 2025)

RANLP 2025

A Survey on Small Language Models

Van Nguyen, C., Shen, X., Aponte, R., Xia, Y., Basu, S., Hu, Z., Chen, J., Parmar, M., Kunapuli, S., Barrow, J., Wu, J., Singh, A., Wang, Y., Gu, J., Ahmed, N., Lipka, N., Zhang, R., Chen, X., Yu, T., Kim, S., Deilamsalehy, H., Park, N., Rimer, M., Zhang, Z., Yang, H., Mathur, P., Wu, G., Dernoncourt, F., Rossi, R., Nguyen, T. (Sep. 10, 2025)

RANLP 2025

FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback

Singh, A., Singh, A., Agarwal, P., Huang, Z., Singh, A., Yu, T., Kim, S., Bursztyn, V., Ahmed, N., Mathur, P., Learned-Miller, E., Dernoncourt, F., Rossi, R. (Sep. 10, 2025)

RANLP 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!