From the 5 of 51 papers with an AI index.
76 citations
- University of MichiganUS4 papers
- University of WaterlooCA4 papers
- Chalmers University of TechnologySE3 papers
- Google (Switzerland)CH3 papers
- Harvard UniversityUS3 papers
- National Taiwan UniversityTW3 papers
- Perimeter InstituteCA3 papers
- Stanford UniversityUS3 papers
- Tohoku UniversityJP3 papers
- University of AmsterdamNL3 papers
- Aalto UniversityFI2 papers
- Academy of AthensGR2 papers
4 papers · 1 filter
Reproducing LightMem: Naive RAG Is Just as Good for Memory Management
Yongjie Zhou, Shuai Wang, Bevan Koopman +1
Long-term conversational agents require access to information from earlier interactions, such as a user's preferences, past requests, or previously mentioned facts. Repeatedly prov…
Heterogeneous Ranking in Industrial-Scale Recommender Systems: A Case Study
Di Bai, Jintao Liu, Zhenwei Tang +3
The paper describes an industrial case study of ranking heterogeneous content feeds in Google Discover using a heterogeneity-adaptive multi-gated mixture-of-experts model (HA-MoE)…
Breaking the Loop: An Empirical Comparison of Strategies for Novelty and Freshness in YouTube Music
Srivaths Ranganathan, Zihuan Diao, Bernardo Cunha +7
Continuously trained ranking models in music recommenders fall into feedback loops where previously consumed items dominate recommendations. This suppresses two distinct content cl…
Beyond Item IDs: Scaling Short-Form-Video Recommendation via Semantic-Native Long Sequence Modeling
Ruixiao Sun, Diego Uribe Mora, Zhimeng Jiang +7
Capturing user interests across extensive watch histories is critical for short-form video recommendation, yet scaling sequence length is limited by two bottlenecks: the semantic s…