Kyungmin Choi
GIST 데이터사이언스 연구실 · AI 연구자
추상적 추론과 유추를 통해 일반 지능으로
I am an AI researcher at the Gwangju Institute of Science and Technology (GIST) , working in the Data Science Lab under Prof. Sundong Kim. My research centers on abstract reasoning and analogy - building datasets and methods that align machine reasoning with human intuition (ARC-style tasks).
I am broadly interested in the intersection of machine learning, reasoning, and the philosophy of science, and in what it takes to move from pattern recognition toward genuine, general intelligence.
연구 관심사
Abstract Reasoning & ARC
How can machines acquire the kind of fluid, compositional reasoning that ARC-style tasks demand?
Human-Intuitive Analogy
Aligning a model's problem-solving with the analogies humans reach for first.
Reasoning & the Philosophy of Science
What the history of physics can teach us about interpreting learned representations.
출판물
모든 출판물 보기 →소식
이력서
학력
수상
- Great Thesis Award (2026) (2026)