RS067 How Spotify Adapted Llama to Enhance Personalization and Discovery
December 18, 2024

Contextualized Recommendations Through Personalized Narratives using LLMs

Generative Artificial Intelligence (AI), particularly Large Language Models (LLMs), offers new opportunities to connect listeners...

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Latest Publications

We publish research papers and present our work in a wide range of venues.

Consumption-based approaches in proactive detection for content moderation

Shahar Elisha, John N. Pougué-Biyong, Mariano Beguerisse-Díaz

Topological Fingerprints for Audio Identification

Wojciech Reise, Ximena Fernández, Maria Dominguez, Heather A. Harrington, Mariano Beguerisse-Díaz

PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters

A. Ghazimatin, E. Garmash, G. Penha, K. Sheets, M. Achenbach, O. Semerci, R. Galvez, M. Tannenberg, S. Mantravadi, D. Narayanan, O. Kalaydzhyan, D. Cole, B. Carterette, A. Clifton, P. N. Bennett, C. Hauff, M. Lalmas-Roelleke

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Research Areas

How do we create more personalized experiences? What can we learn about listeners based on how they use written language? How do we optimize testing methodologies? Explore all our research areas below.

Algorithmic Responsibility
Audio Intelligence
Evaluation
Human-Computer Interaction
Machine Learning
Language Technologies
Search & Recommendations
User Modeling

We are looking for pioneers to join us in all research areas

We’re expanding knowledge of audio technology every day, sharing open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.

Join us