I am a second-year Ph.D. candidate in Electrical and Computer Engineering at Seoul National University, advised by Prof. Kyomin Jung. My research explores methods to make large language models and large multi-modal models reason more reliably and efficiently. More broadly, I am interested in scalable methods for post-training and deploying intelligent agents that can learn from interactions with the environment and solve complex tasks efficiently.
News
| Aug. 2026 | One paper have been accepted to EMNLP 2026! |
| Aug. 2026 | I will be joining LG AI Research as a research intern! |
| Jul. 2026 | One paper has been accepted to COLM 2026! |
| Jun. 2026 | One paper has been accepted to the ICML 2026 AI4Math Workshop as a Spotlight paper! |
| May. 2026 | One paper has been accepted to ICML 2026! |
| Nov. 2025 | One paper has been accepted to AAAI 2026! |
| Aug. 2025 | Two papers have been accepted to EMNLP 2025! |
| Sep. 2024 | One paper has been accepted to the Findings of EMNLP 2024! |
Publications
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Are We Measuring Strategy or Phrasing? The Gap Between Surface- and Approach-Level Diversity in LLM Math Reasoning
Sangmook Lee, Minbeom Kim, Jeonghye Kim, Dohyung Kim, Sojeong Rhee, Kyomin Jung EMNLP 2026 & ICML 2026 AI4Math Workshop Spotlight |
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Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?
Jeonghye Kim, Xufang Luo, Minbeom Kim, Sangmook Lee, Dohyung Kim, Jiwon Jeon, Dongsheng Li, Yuqing Yang COLM 2026 [Code] |
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Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVR
Dohyung Kim, Minbeom Kim, Jeonghye Kim, Sangmook Lee, Sojeong Rhee, Kyomin Jung ICML 2026 [Code] |
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Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning
Sangmook Lee*, Dohyung Kim*, Hyukhun Koh, Nakyeong Yang, Kyomin Jung AAAI 2026 [Code] |
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ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection
Jeonghye Kim, Sojeong Rhee, Minbeom Kim, Dohyung Kim, Sangmook Lee, Youngchul Sung, Kyomin Jung EMNLP 2025 [Code] |
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Conditional [MASK] Discrete Diffusion Language Model
Hyukhun Koh, Minha Jhang, Dohyung Kim, Sangmook Lee, Kyomin Jung EMNLP 2025 [Code] |
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Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric
Hyukhun Koh, Dohyung Kim, Minwoo Lee, Kyomin Jung Findings of EMNLP 2024 [Code] |
Work Experiences
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NLP Research Scientist Intern @ LG AI Research
Seoul, South Korea |
2026.08 — Present |
Education
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Ph.D. Candidate in Electrical and Computer Engineering
Seoul National University |
2025.03 — Present |
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B.S. in Electrical and Computer Engineering
Seoul National University, Cum Laude |
2019.03 — 2025.02 |