Seungpil Lee

Seungpil Lee

Gwangju Institute of Science and Technology (GIST)

Program: Master's in Artificial Intelligence

Email | Google Scholar | CV

Nice to meet you. I'm a passionate Master's student who embraces challenges in unfamiliar domains. Although my primary interest lies in the field of brain-inspired AI, I also have a broad curiosity that extends to other areas of artificial intelligence, including NLP and reinforcement learning. Additionally, I maintain a keen interest in interdisciplinary subjects such as cognitive science and STS.

Diagonal flip transformation Horizontal alignment Tetris pattern

I am currently solving visual reasoning benchmark, Abstraction and Reasoning Corpus (ARC) with Prof. Sundong Kim in GIST. ARC is a kind of IQ test for computers - if we can solve this challenge, we might be able to develop AI with genuine reasoning capabilities. Perhaps you'll soon meet an AI that surpasses human intelligence. You might find my name there!

Education Education

Gwangju Institute of Science and Technology (GIST)

March 2025 - Present

  • Master's Degree in AI Convergence
  • Research focus: Brain-inspired AI, Visual Reasoning, Abstract Reasoning
  • Advisor: Prof. Sundong Kim
Gwangju Institute of Science and Technology (GIST)

March 2018 - December 2024

  • Bachelor's Degree in Electrical Engineering and Computer Science
  • Minor in Mathematics
  • Minor in Literature

Research 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

Publications Publications

* denotes equal contribution

Can Large Language Models Develop Gambling Addiction?

Seungpil Lee*, Donghyeon Shin, Yunjeong Lee and Sundong Kim†

arXiv preprint, 2025

PAPER
Solution Augmentation for ARC-AGI Problems Using GFlowNet: A Probabilistic Exploration Approach

Sanha Hwang, Seungpil Lee, Sejin Kim, and Sundong Kim†

Transactions on Machine Learning Research, 2025

Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus

Seungpil Lee*, Woochang Sim*, Donghyeon Shin*, Wongyu Seo, Jiwon Park, Seokki Lee, Sanha Hwang, Sejin Kim and Sundong Kim†

ACM Transactions on Intelligent Systems and Technology (Accept with Minor Revision), 2024, 2025

Reasoning Abilities of Large Language Models through the Lens of Abstraction and Reasoning (Extended Abstract of the below paper)

Seungpil Lee*, Woochang Sim*, Donghyeon Shin*, Sejin Kim and Sundong Kim†

In NeurIPS Workshop on System-2 Reasoning at Scale, 2024, 2025

From Generation to Selection: Findings of Converting Analogical Problem-Solving into Multiple-Choice Questions

Donghyeon Shin*, Seungpil Lee*, Klea Lena Kovacec, and Sundong Kim†

In EMNLP Findings, 2024, 2024

Regulation Using Large Language Models to Generate Synthetic Data for Evaluating Analogical Ability

Donghyeon Shin*, Seungpil Lee*, Klea Lena Kovacec, and Sundong Kim†

In IJCAI Workshop on Analogical Abstraction in Cognition, Perception, and Language, 2024, 2024

ARCLE: The Abstract and Reasoning Corpus Learning Environment for Reinforcement Learning

Hosung Lee*, Sejin Kim*, Seungpil Lee, Sanha Hwang, Jihwan Lee, Byung-Jun Lee†, and Sundong Kim†

In CoLLAs, 2024, 2024

Extracting the core knowledge of ARC with the World Model

KSC, 2023

Evaluating Prior Knowledge of ARC Using World Models

KSC, 2023

Awards Awards & Honors

National Research Foundation of Korea Funding, NRF

September 2025 - September 2026

  • Funding offered to outstanding master's students for conducting research projects
Korean Government Scholarships, GIST College

March 2018 - August 2024

  • Scholarship awarded to students studying in GIST
Scholarship for Summer Session Abroad

June 2019 - August 2019

  • Scholarship awarded to students studying abroad during a summer session
Navy AI Competition

June 2023 - August 2023

  • Awarded drone object detecting competition hosted by Korean Navy
K-StartUp finals

March 2023 - November 2023

  • Advanced to the finals of Korean largest start-up contest, 'K-StartUp', as ML researcher and back-end developer