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Sungjae Lee I am a PhD student in the Department of Computer Science and Engineering at POSTECH and a member of the Machine Learning Laboratory, advised by Prof. Jungseul Ok. My research focus is on machine learning, especially on reinforcement learning, language model reasoning, and code generation. |
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Selected Publications |
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Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs
Sungjae Lee, Hoyoung Kim, Jeongyeon Hwang, Eunhyeok Park, Jungseul Ok EMNLP Findings, 2025 |
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Self-Training Large Language Models with Confident Reasoning
Hyosoon Jang, Yunhui Jang, Sungjae Lee, Jungseul Ok, Sungsoo Ahn EMNLP Findings, 2025 |
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Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models
Sungjae Lee*, Hyejin Park*, Jaechang Kim, Jungseul Ok ACL, 2025 (oral: 2.6%) |
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Multitask Learning with Single Gradient Step Update for Task Balancing
Sungjae Lee, Youngdoo Son Neurocomputing, 2022 |
Academic Service |
| • Reviewer, ACL Rolling Review (ARR), October 2025 |
Experience |
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Machine Learning Researcher, Biosignal u-healthcare team, VUNO, Seoul, South Korea January 2021 – August 2023 |
Education |
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Doctor of Philosophy, Computer Science and Engineering Pohang University of Science and Technology (POSTECH), Pohang, South Korea September 2023 – present Advisor: Jungseul Ok |
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Master of Science, Industrial and Systems Engineering Dongguk University, Seoul, South Korea March 2019 – February 2021 Advisor: Youngdoo Son |
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Bachelor of Engineering, Industrial and Systems Engineering Dongguk University, Seoul, South Korea March 2012 – August 2018 |
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