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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Atanu R Sinha

Principal Scientist

Soumyabrata Pal

Research Scientist

David Seunghyun Yoon

Research Scientist

View our latest publicationsView More

ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning

Man, H., Ngo, N., Dernoncourt, F., Nguyen, T. (Nov. 16, 2024)

EMNLP 2024 Demo Track

PDFTriage: Question Answering over Long, Structured Documents

Saad-Falcon, J., Barrow, J., Siu, A., Nenkova, A., Yoon, D., Rossi, R., Dernoncourt, F. (Nov. 16, 2024)

EMNLP 2024 Industry Track

ScaleViz: Scaling Visualization Recommendation Models on Large Data

Ahmad, G., Agarwal, S., Mitra, S., Rossi, R., Doshi, M., Paila, S. (May. 7, 2024)

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

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!