Yoon Kim

Yoon Kim is NBX Career Development Professor and an assistant professor in the Department of Electrical Engineering and Computer Science at MIT. He’s also affiliated with the Computer Science and Artificial Intelligence Laboratory. 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.

Publications

• Kim, Y. (2021). Sequence-to-Sequence Learning with Latent Neural Grammars. Conference on Neural Information Processing Systems (NeurIPS).
• Latif, S., Zhou, Z., Kim, Y., Beck, F., Kim,N. W. (2021). Kori: Interactive Synthesis of Text and Charts in Data Documents. IEEE Visualization Conference.
• Guo, D., Rush, A., Kim, Y. (2021). Parameter-Efficient Transfer Learning with Diff Pruning. Conference of the Association for Computational Linguistics (ACL).