Nov 11, 2025
Learning Personalised Prices in Ad Auctions with Game Theory and Deep Learning
We introduce a new way to set personalized reservation prices in impression-based ad auctions...
Sep 23, 2025
Personalizing Agentic AI to Users' Musical Tastes with Scalable Preference Optimization
When users ask for “music for a solo night drive through the city,”...
Sep 22, 2025
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Recommending the right short- or long-form video...
Sep 19, 2025
Profile-aware LLM-as-a-Judge for Podcasts: A Better Middle Ground Between Offline Metrics and A/B Tests
Evaluating podcast recommendations is notoriously difficult...
Latest Publications
We publish research papers and present our work in a wide range of venues.
More publicationsSpillover Detection for Donor Selection in Synthetic Control Models
Michael O'Riordan, Ciarán Gilligan-Lee
Learning Optimal Personalised Reservation Prices in Impression Ad Auctions with Mixture Density Networks
Dmitrii Moor, Emma Zetterdahl, Paul van Vliet, Zhenwen Dai, Mounia Lalmas
LLARK : A Multimodal Instruction-Following Language Model for Music
Joshua Gardner, Simon Durand, Daniel Stoller, Rachel Bittner
Research Areas
How do we create more personalized experiences? What can we learn about listeners on how they use written language? How do we optimize testing methodologies? Explore all our research areas below.
Algorithmic Responsibility
Artificial Intelligence
Audio and Visual Intelligence
Causal Inference
Economics
Evaluation
Search & Recommendations
Speech and NLP
User Modeling
We are looking for pioneers to join us in all research areas
We're expanding knowledge of audio and video technology every day, sharing open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.
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