Yoon Kim

Yoon Kim is an Assistant Professor at MIT, affiliated with the departments of Computer Science (CS), Electrical Engineering (EE), and the AI+D initiative within the School of Engineering. His research focuses on artificial intelligence, machine learning, natural language processing, and speech processing, with notable work on vision-language models and large language models (LLMs). He was named an AI2050 Early Career Fellow in 2024. His recent studies address critical issues like LLMs' failure to handle negation in high-stakes contexts and the ethical implications of retrieval-augmented systems in medical communication.

Kim’s work bridges theoretical advancements and practical applications, including optimizing transformer architectures, improving model robustness, and exploring semantic representations across languages and modalities. His publications often emphasize hardware-efficient training and inference techniques, reflecting his interest in scalable AI systems. Collaborative projects with interdisciplinary teams highlight his commitment to advancing both technical and societal aspects of AI.