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Adobe Research brings together scientists, engineers, designers, and artists to advance AI and reimagine the future of creativity and productivity.

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About Adobe Research

From generative AI models to agentic systems, our breakthroughs are at the core of the Adobe products millions of customers use every day. Our work takes the stage at Adobe MAX and Adobe Summit and is published at the world’s leading research conferences.

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Publications

March 14, 2027

MultAttnAttrib: Training-Free Multimodal Attribution in Long Document Question Answering

Dang Quang Thien Tran, Quang V. Dang, Vinamra Tyagi, Sai Soorya Rao Veeravalli, Trang Nguyen, Ryan A. Rossi, Franck Dernoncourt, Nedim Lipka, Koustava Goswami, Samyadeep Basu

AI & Machine Learning Document Intelligence Intelligent Agents & Assistants Natural Language Processing
December 17, 2026

DISC: Domain-Integrated Similarity Cost for Time-Series Dataset

Yen-Ku Liu, Hongjie Chen, Franck Dernoncourt, Ryan A. Rossi

AI & Machine Learning Content Intelligence Data Intelligence
December 17, 2026

MusicRec: Audio, Lyrics, and Engagement Feature Enrichment for Music Recommendation

Srikar Prabhas Kandagatla, Sreehitha R. Narayana, Chandana Magapu, Swetha Mohan, Shamanth Kuthpadi Seethakantha, Hongjie Chen, Ryan A. Rossi, Franck Dernoncourt, Nesreen Ahmed

AI & Machine Learning Audio Intelligent Agents & Assistants Natural Language Processing
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Our Researchers

Curious. Creative. Committed. Adobe Research’s world-class research scientists, engineers, artists, and designers shape experimental ideas into innovative technologies. Our quest for new ways to improve our world through digital tools drives the discoveries we share with the research community and the under-the-hood tech we create for Adobe’s products.

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