Neural Input Search for Large Scale Recommendation Models. - Manas R. Joglekar; Cong Li; Mei Chen; Taibai Xu; Xiaoming Wang; Jay K. Adams; Pranav Khaitan; Jiahui Liu; Quoc V. Le (KDD, 2020)

Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations. - Ji Yang; Xinyang Yi; Derek Zhiyuan Cheng; Lichan Hong; Yang Li 150; Simon Xiaoming Wang; Taibai Xu; Ed H. Chi (WWW (Companion Volume), 2020)

Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems. - Huan Gui; Ruoxi Wang; Ke Yin; Long Jin; Maciej Kula; Taibai Xu; Lichan Hong; Ed H. Chi (CoRR, 2023)

Leveraging LLM Reasoning Enhances Personalized Recommender Systems. - Alicia Tsai; Adam Kraft; Long Jin; Chenwei Cai; Anahita Hosseini; Taibai Xu; Zemin Zhang; Lichan Hong; Ed Huai-hsin Chi; Xinyang Yi (ACL (Findings), 2024)

STAR: A Simple Training-free Approach for Recommendations using Large Language Models. - Dong-Ho Lee; Adam Kraft; Long Jin; Nikhil Mehta 002; Taibai Xu; Lichan Hong; Ed H. Chi; Xinyang Yi (CoRR, 2024)