Seungyeon Kim

ML Research Engineer

Seungyeon Kim is a Machine Learning CS Ph.D. from the Graduate school of Georgia Institute of Technology. He is currently at Google Research as a Staff Software Engineer with the focus on Machine Learning, particularly on extreme classification, distillation and large language models.

Recent Publications

More publications >

Teacher Guided Training: An Efficient Framework for Knowledge Transfer. arXiv 2022.

In defense of dual-encoders for neural ranking, International Conference on Machine Learning (ICML) 2022

A statistical perspective on distillation, International Conference on Machine Learning (ICML) 2021