Intelligent Agents & Assistants

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. 

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Ryan A. Rossi

Senior Research Scientist

Haoliang Wang

Senior Research Scientist

Alexa Siu

Research Scientist

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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

FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge

Yang, N., Kim, M., Yoon, D., Shin, J., Jung, K. (Nov. 6, 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.

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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!