Yoon Kim
I am an associate professor at MIT (EECS/CSAIL). I obtained my PhD in computer science from Harvard University, where I was advised by Alexander Rush.
yoonkim@mit.edu / CV / Google ScholarResearch
I work on natural language processing and machine learning. Current interests include:
- Efficient training and deployment of large-scale models
- Understanding the limitations and enhancing the capabilities of AI systems
Group
Postdocs
Hadeel Al-Negheimish
Lucas Torroba Hennigen
Han Guo (co-advised with Eric Xing)
Abbas Zeitoun
Linlu Qiu
Zhaofeng Wu
Isha Puri (co-advised with Marzyeh Ghassemi)
Oliver Sieberling
Former Members
Bailin Wang
Tiwa Eisape (co-advised with Roger Levy)
Ani Nrusimha
Songlin Yang
Recent Papers [all publications]
- Fast KV Compaction via Attention Matching
Adam Zweiger, Xinghong Fu, Han Guo, Yoon Kim
ICML 2026 [paper, code]
- Reaching Beyond the Mode: RL for Distributional Reasoning in Language Models
Isha Puri, Mehul Damani, Idan Shenfeld, Marzyeh Ghassemi, Jacob Andreas, Yoon Kim
ICML 2026 [paper]
- Implicit Representations of Grammaticality in Language Models
Yingshan Susan Wang, Linlu Qiu, Zhaofeng Wu, Roger P. Levy, Yoon Kim
ACL 2026 [paper]
- Log-Linear Attention
Han Guo, Songlin Yang, Tarushii Goel, Eric P. Xing, Tri Dao, Yoon Kim
ICLR 2025 [paper, code]
- PaTH Attention: Position Encoding via Accumulating Householder Transformations
Songlin Yang, Yikang Shen, Kaiyue Wen, Shawn Tan, Mayank Mishra, Liliang Ren, Rameswar Panda, Yoon Kim
NeurIPS 2025 [paper]
- On the Duality between Gradient Transformations and Adapters
Lucas Torroba-Hennigen, Hunter Lang, Han Guo, Yoon Kim
ICML 2025 [paper]
- The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities
Zhaofeng Wu, Xinyan Velocity Yu, Dani Yogatama, Jiasen Lu, Yoon Kim
ICLR 2025 [paper]