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 Senior Staff Software Engineer with the focus on Machine Learning, particularly on adaptive computation, extreme classification, distillation and large language models.

Recent Publications

More publications >

[new] USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval, ICML 2024

Efficient Training of Language Models using Few-Shot Learning. ICML 2023

Teacher Guided Training: An Efficient Framework for Knowledge Transfer. ICLR 2023.

Supervision Complexity and its Role in Knowledge Distillation. ICLR 2023.