Hi, I'm Grace C. Kim

CS BS/MS Student at Georgia Tech
My research focuses on improving the interpretability and trustworthiness of ML models. I develop interactive visualization tools for visually analyzing model decision-making, and interpretability methods for understanding and controlling model behavior.
I am pursuing the 4-year BS/MS program at Georgia Tech, working with Polo Chau and Mark Riedl. I am fortunate to be supported by the Stamps President’s Scholarship.

Featured Research Publications

Survey on LLM interpretation and safety
EMNLP Main 2025
Quantifying and mitigating memorization in CLIP models
ICLR 2025
Interactive visualization tool for Transformer-based LLMs
IEEE Visualization Conference (VIS Poster). 2024., AAAI Conference on Artificial Intelligence (AAAI Demo). 2025.