Jun. 2024 - Present
KAIST MLAI Lab
Research Assistant · Advisor: Prof. Sung Ju Hwang
EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents
Sehee Kim*, Yumin Choi*, Minki Kang, Sung Ju Hwang
Under review, 2026
I am an M.S. student in Artificial Intelligence at KAIST, where I work with Prof. Sung Ju Hwang and his research group, MLAI Lab. Before joining KAIST, I received my B.S. in Mechanical Engineering and Artificial Intelligence from Korea University in 2025. During my undergraduate studies, I worked on research projects involving MLLMs at MLV Lab with Prof. Hyunwoo J. Kim, and studied machine learning through Data Science & AI Society (KUBIG) under the guidance of Prof. Sungbin Lim.
My research is broadly about Self-Evolving AI: systems that continuously improve by accumulating, organizing, and reusing knowledge from external sources and their own experience. One way I approach this is through LLM-driven optimization, where LLMs generate high-quality solutions and prioritize promising candidates before committing to expensive evaluations. My recent work studies experience-driven improvement for long-horizon LLM agents, including pre-task memory construction and hindsight self-distillation from validated trajectories.
Publications
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It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs
Sangwoo Park*, Woongyeong Yeo*, Seanie Lee, Yumin Choi, Hyomin Lee, Kangsan Kim, Jinheon Baek†, Seong Joon Oh†, Sung Ju Hwang†
arXiv Preprint, 2026
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PREPING: Building Agent Memory without Tasks
Yumin Choi, Sangwoo Park, Minki Kang, Jinheon Baek†, Sung Ju Hwang†
arXiv Preprint, 2026 · Project page
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THINKSAFE: Self-Generated Safety Alignment for Reasoning Models
Seanie Lee*, Sangwoo Park*, Yumin Choi, Gyeongman Kim, Minki Kang, Jihun Yun, Dongmin Park, Jongho Park, Sung Ju Hwang
arXiv Preprint, 2026
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T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search
Hyomin Lee, Sangwoo Park, Yumin Choi, Sohyun An, Seanie Lee, Sung Ju Hwang
Conference on Empirical Methods in Natural Language Processing (EMNLP Main), 2026
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HINT-SD: Targeted Hindsight Self-Distillation for Long-Horizon Agents
Woongyeng Yeo*, Yumin Choi*, Taekyung Ki, Sung Ju Hwang
Findings of Empirical Methods in Natural Language Processing (EMNLP Findings, Short), 2026
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Super Library Agent: Joint Generation and Maintenance of Multiple Applications Beyond the Single Codebase
Daegyu Sung*, Yukyeong Lee*, Geon Park, Yumin Choi, Sung Ju Hwang
Findings of Empirical Methods in Natural Language Processing (EMNLP Findings), 2026
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Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
Yumin Choi*, Dongki Kim*, Jinheon Baek†, Sung Ju Hwang†
International Conference on Learning Representations (ICLR), 2026
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System Prompt Optimization with Meta-Learning
Yumin Choi*, Jinheon Baek*, Sung Ju Hwang
Conference on Neural Information Processing Systems (NeurIPS), 2025
*: equal contribution; †: equal advising.
Experience
Nov. 2023 - May 2024
Korea University MLV Lab
Undergraduate Research Assistant · Advisor: Prof. Hyunwoo J. Kim
Jul. 2023 - Jun. 2024
Korea University Data Science & AI Society KUBIG
Project Team Leader · Advised by Prof. Sungbin Lim
Aug. 2022 - Jan. 2024
Korea University Anam Hospital
Research Assistant · Clinical ML with national insurance data, focusing on transfusion outcomes and ML model interpretation.
Education
Feb. 2027 expected
KAIST
M.S. in Artificial Intelligence
Feb. 2025
Korea University
B.S. in Mechanical Engineering & Artificial Intelligence