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
Pannaga Shivaswamy
Principal Scientist
Maaz Bin Safeer Ahmad
Research Scientist
Victor S. Bursztyn
Research Scientist
View our latest publicationsView More
Iterative Critique-Refine Framework for Enhancing LLM Personalization
Maram, D., Gandhi, D., Yao, Z., Akkinapalli, G., Dernoncourt, F., Wang, Y., Rossi, R., Ahmed, N. (Nov. 10, 2026)
AACL-IJCNLP 2026
Reasoning-Based Personalized Generation for Sparse Users
Ni, B., Kveton, B., Basu, S., Mukherjee, S., Wang, L., Dernoncourt, F., Kim, S., Yoon, S., Wang, J., Zhang, R., Mathur, P., Kil, J., Gu, J., Lipka, N., Wang, Y., Rossi, R., Derr, T. (Nov. 10, 2026)
AACL-IJCNLP 2026
UXCascade: Scalable Usability Testing with Simulated User Agents
Holter, S., Koh, E., Dogan, D., Chan, G. (Nov. 2, 2026)
UIST 2026
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.
