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 DeepMind as a L7 Research Engineer with the focus on Machine Learning, particularly on memorization in LLMs, adaptive computation, extreme classification, distillation and large language models.
[new] Analysis of Plan-based Retrieval for Grounded Text Generation, EMNLP 2024
Faster Cascades via Speculative Decoding, [preprint] ArXiv 2024
USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval, ICML 2024
Efficient Training of Language Models using Few-Shot Learning. ICML 2023