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
Saayan Mitra
Principal Research Scientist
Uttaran Bhattacharya
Research Scientist 2
Victor S. Bursztyn
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.
