Taibai Xu

According to our database, Taibai Xu authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

STAR: A Simple Training-free Approach for Recommendations using Large Language Models.

Dong-Ho Lee, Adam Kraft, Long Jin, Nikhil Mehta, Taibai Xu, Lichan Hong, Ed H. Chi, Xinyang Yi

CoRR, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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

2020

Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations.

Ji Yang, Xinyang Yi, Derek Zhiyuan Cheng, Lichan Hong, Yang Li, Simon Xiaoming Wang, Taibai Xu, Ed H. Chi

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020