Jungin Kim
Master Student @ToC Lab
Seoul, South Korea
I am a master’s student at Yonsei University, Graduate School of Computer Science. I focus on applying language model techniques to real-world problems that require security, personalization, and ethical sensitivity. My work includes developing watermarking methods for detecting AI-generated code, designing recommender systems based on user behavior, and building NLP tools that mitigate harmful or biased content. I aim to bridge AI research with practical systems that are secure, transparent, and user-centric.
Connect
- jungin3486@gmail.com
- Google Scholar
- GitHub
- Blog
CV & Portfolio
Publications
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Marking Code Without Breaking It: Code Watermarking for Detecting LLM-Generated Code [arXiv]
Jungin Kim, Shinwoo Park, Yo-Sub Han
Under Review -
K-ToPiC: Korean Dialect Toxicity Polishing with Curriculum Learning-based Span Detection [KCC 2025]
Jungin Kim, Soohan Lim, Hyeseon Ahn, Sang-Min Choi, Yo-Sub Han
Accepted to KCC 2025 -
CodeComplex: A Time-Complexity Dataset for Bilingual Source Codes [EMNLP 2025]
Seung-Yeop Baik, Joonghyuk Hahn, Jungin Kim, Mingi Jeon, Yo-Sub Han, Sang-Ki Ko
Accepted to findings of EMNLP 2025 -
TCProF: Time-Complexity Prediction SSL Framework [NAACL 2025]
Joonghyuk Hahn, Hyeseon Ahn, Jungin Kim, Soohan Lim, Yo-Sub Han
Accepted to NAACL 2025 -
SharedCon: Implicit Hate Speech Detection using Shared Semantics [ACL 2024 Findings]
Hyeseon Ahn, Youngwook Kim, Jungin Kim, Yo-Sub Han
Accepted in Findings of ACL 2024