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
Uttaran Bhattacharya
Research Scientist 2
Trung Bui
Senior Research Scientist & Manager
Kevin Smith
Senior Research Software Developer
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
A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations
Li, L., Cai, P., Rossi, R., Dernoncourt, F., Kveton, B., Wu, J., Yu, T., Song, L., Yang, T., Qin, Y., Ahmed, N., Basu, S., Mukherjee, S., Zhang, R., Hu, Z., Ni, B., Zhou, Y., Wang, Z., Huang, Y., Wang, Y., Zhang, X., Yu, P., Hu, X., Zhao, Y. (Dec. 7, 2025)
Spotlight paper (top 5%)NeurIPS 2025 MTI-LLM workshop
Program Synthesis via Test-Time Transduction
Kang-il_Lee, K., Koo, J., Yoon, D., Kim, M., Koh, H., Lee, D., Jung, K. (Dec. 3, 2025)
NeurIPS 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.
