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
Nedim Lipka
Sr. Research Scientist
Koyel Mukherjee
Senior Research Scientist
Uttaran Bhattacharya
Research Scientist 2
View our latest publicationsView More
SlimLM: An Efficient Small Language Model for On-Device Document Assistance
Pham, T., Nguyen, P., Yoon, D., Lai, V., Dernoncourt, F., Bui, T. (Aug. 1, 2025)
ACL 2025 System Demonstrations
Click, Type, Repeat: A Comprehensive Survey on GUI Agents
Nguyen, D., Chen, J., Wang, Y., Wu, G., Park, N., Hu, Z., Lyu, H., Wu, J., Aponte, R., Xia, Y., Li, X., Shi, J., Chen, H., Lai, V., Xie, Z., Kim, S., Zhang, R., Yu, T., Tanjim, M., Ahmed, N., Mathur, P., Yoon, D., Yao, L., Kveton, B., Kil, J., Nguyen, T., Bui, T., Zhou, T., Rossi, R., Dernoncourt, F. (Aug. 1, 2025)
ACL 2025 Findings
NoLiMa: Long-Context Evaluation Beyond Literal Matching
Modarressi, A., Deilamsalehy, H., Dernoncourt, F., Bui, T., Rossi, R., Yoon, D., Schütze, H. (Jul. 19, 2025)
ICML 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.
