I am a research intern at Princeton University. I am also an
undergraduate student in Artificial Intelligence at Chung-Ang University
in Seoul, Korea. My research aims to build capable AI systems that improve through experience.
I study how post-training can help models learn from their interactions and continually strengthen
their capabilities, while remaining effective and efficient in real-world use.
At Trillion Labs, I worked on foundation-model post-training, with a focus
on knowledge distillation and continual learning for large language models. My prior work was nominated for an
outstanding paper award at EMNLP.
@inproceedings{jung-etal-2025-todi,
title = "{T}o{D}i: Token-wise Distillation via Fine-Grained Divergence Control",
author = "Jung, Seongryong and Yoon, Suwan and Kim, DongGeon and Lee, Hwanhee",
booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
year = "2025",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.emnlp-main.409",
}