3 papers
cs.IR2026
Sona Technical Report
Sona Team, Alexandr Udeneev, Aleksei Krasilnikov +33
We introduce Sona, a single-model generative recommender for Yandex Music. In an online A/B test, Sona replaced the entire production cascade, comprising more than 15 candidate gen…
cs.IR2026
Gryphon-v2: One Model in Place of a Cascade - Generate-and-Rank Recommender with Rollout Distillation
Anna Lipkina, Daria Tikhonovich, Viktor Yanush +6
Industrial recommender systems are commonly deployed as multi-stage cascades with separate candidate generators, pre-rankers, and final rankers. Although effective, these cascades…
cs.IR2026
Gryphon: A Unified Architecture for Semantic-ID Generation and Item-Level Scoring in Industrial Recommendations
Daria Tikhonovich, Oleg Sorokin, Vladislav Dodonov +2
Generative retrieval (GR) has become a scalable approach to candidate generation: each item is assigned a short hierarchical token sequence called a Semantic ID (SID), and the next…