Jungin Kim
Master Student @ToC Lab
Seoul, South Korea
I am a master’s student in Computer Science at Yonsei University with 4 years of experience in natural language processing research and 1 year of industry experience in data analysis and machine learning.
My work focuses on analyzing large-scale data and building practical systems, including watermarking methods for identifying LLM-generated code, implicit hate speech detection and mitigation, and personalized recommender systems based on user behavior data.
I am interested in developing data-driven systems that translate research ideas into real-world applications, with an emphasis on reliability, transparency, and measurable impact.
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CV & Portfolio
Publications
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Marking Code Without Breaking It: Code Watermarking for Detecting LLM-Generated Code [EACL 2026]
Jungin Kim, Shinwoo Park, Yo-Sub Han
Accepted in Findings of EACL 2026 -
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 in 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]
Hyeseon Ahn, Youngwook Kim, Jungin Kim, Yo-Sub Han
Accepted in Findings of ACL 2024