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. 

Meet some of our researchersView More

Darshan Prasad

Research Engineer

David Seunghyun Yoon

Research Scientist

Zhihong Ding

Senior Research Engineer

View our latest publicationsView More

X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering

M'hamdi, M., Kim, D., Dernoncourt, F., Bui, T., Ren, X., May, J. (Jun. 11, 2021)

NAACL 2021

KPQA: A Metric for Generative Question Answering Using Keyphrase Weights

Lee, H., Yoon, D., Dernoncourt, F., Kim, D., Bui, T., Shin, J., Jung, K. (Jun. 11, 2021)

NAACL 2021

Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering

Tran, Q., Dam, N., Lai, T., Dernoncourt, F., Le, T., Le, N., Phung, D. (Dec. 13, 2020)


Project Journey Genius

Presented by researcher Fan Du, Project Journey Genius enables marketers to explore the history and potential future of customers’ journeys, with a goal of creating intervention plans for achieving a better outcome. This experimental assistive tool could help marketers predict which customers will experience bottlenecks, and provide support ahead of time.

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Join us!

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!