Adobe Research is developing intelligent agents and assistants to help Adobe’s customers with a wide range of tasks. Enterprise-focused agents offer a promising way to empower marketers to offer engaging customer experiences, educate people about products, and communicate timely offers. Natural language-enabled creative assistants could enable new users to become familiar with digital tools, teach valuable skills, and handle routine work. Agents and assistants may be voice or gesture driven, with awareness of content and context.
Meet some of our researchersView More
Iftikhar Ahamath Burhanuddin
Senior Research Scientist
David Tompkins
Senior Principal Scientist and Lab Director, Research Engineering and Design Lab
Koyel Mukherjee
Senior Research Scientist
View our latest publicationsView More
Personalized Graph-Based Retrieval for Large Language Models
Au, S., Dimacali, C., Pedirappagari, O., Park, N., Dernoncourt, F., Wang, Y., Kanakaris, N., Deilamsalehy, H., Rossi, R., Ahmed, N. (Dec. 7, 2025)
PACLIC 2025
LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles
Ng, H., Hsu, T., Ramakrishnan, A., Kveton, B., Lipka, N., Dernoncourt, F., Lee, D., Yu, T., Kim, S., Rossi, R., Huang, T. (Nov. 9, 2025)
EMNLP 2025 Finding
Follow the Flow: Fine-grained Flowchart Attribution with Neurosymbolic Agents
Suri, M., Mathur, P., Lipka, N., Dernoncourt, F., Rossi, R., Gupta, V., Manocha, D. (Nov. 9, 2025)
EMNLP 2025
Project Get Savvy
For marketing teams, going from an idea to a full campaign can be time-consuming, difficult, and expensive. So Adobe Researchers collaborated with the Adobe Experience Manager (AEM) team to create Project Get Savvy. This experimental prototype lets marketers choose a team of AI agents who help them quickly move from ideation to a full marketing plan.
