Yoon Kim
NBX Professor and Associate Professor, Department of Electrical Engineering and Computer Science
Who they work with
Categories
Yoon Kim is an associate professor in the Department of Electrical Engineering and Computer Science (EECS) at MIT and holds the NBX Professor chair; he’s also affiliated with the Computer Science and Artificial Intelligence Laboratory (CSAIL). Kim conducts research in natural language processing and machine learning. He is interested in developing efficient methods for training and deploying large-scale models, using neuro-symbolic techniques to imbue humanlike inductive biases to computational models, and investigating connections between artificial and human language processing systems. Kim received a PhD in computer science from Harvard, an MS in data science from NYU, an MA in statistics from Columbia, and dual BA degrees in mathematics and economics from Cornell.
Selected Publications
- Akyürek, E., Damani, M., Zweiger, A., Qiu, L., Guo, H., Pari, J., Kim, Y., & Andreas, J. (2025). The surprising effectiveness of test‑time training for few‑shot learning. The 38th International Conference on Machine Learning (ICML).
- Zhang, M., Mishra, M., Zhou, Z., Brandon, W., Wang, J., Kim, Y., Ragan-Kelley, J., Song, S., Athiwaratkun, B., & Dao, T. (2025). Ladder‑Residual: Parallelism‑Aware Architecture for Accelerating Large Model Inference with Communication Overlapping. The 38th International Conference on Machine Learning (ICML).
- Torroba Hennigen, L., Lang, H., Guo, H., & Kim, Y. (2025). On the duality between gradient transformations and adapters. The 38th International Conference on Machine Learning (ICML).
Media
- July 8, 2025: MIT News, Study could lead to LLMs that are better at complex reasoning
- February 19, 2025: MIT News, Like human brains, large language models reason about diverse data in a general way