1. Can Large Language Models Develop Gambling Addiction?
arXiv preprint, 2025
2. Solution Augmentation for ARC-AGI Problems Using GFlowNet: A Probabilistic Exploration Approach
Transactions on Machine Learning Research, 2025
3. Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus
ACM Transactions on Intelligent Systems and Technology (Accept with Minor Revision), 2024-2025
4. Reasoning Abilities of Large Language Models through the Lens of Abstraction and Reasoning (Extended Abstract of the below paper)
NeurIPS Workshop on System-2 Reasoning at Scale, 2024-2025
5. From Generation to Selection: Findings of Converting Analogical Problem-Solving into Multiple-Choice Questions
EMNLP Findings, 2024
Research Experience
Data Science and Artificial Intelligence Lab, GIST
March 2024 - Present
Graduate Research Assistant, Supervised by Prof. Sundong Kim
Working on Abstraction and Reasoning Corpus (ARC) challenge, Developing novel approaches for visual reasoning and abstract problem solving, Researching brain-inspired AI architectures for cognitive reasoning tasks
Education
1. March 2025 - Present: Gwangju Institute of Science and Technology (GIST), Master's Degree in AI Convergence, Research focus: Brain-inspired AI, Visual Reasoning, Abstract Reasoning, Advisor: Prof. Sundong Kim
2. March 2018 - December 2024: Gwangju Institute of Science and Technology (GIST), Bachelor's Degree in Electrical Engineering and Computer Science, Minor in Mathematics and Literature
Background
A passionate Master's student with a primary interest in brain-inspired AI and a broad curiosity that extends to other areas of artificial intelligence, including NLP and reinforcement learning. Additionally, maintains a keen interest in interdisciplinary subjects such as cognitive science and STS.