Welcome

Nice to meet you. This is Seungpil Lee’s website. Here, you will be able to review a brief portfolio and CV about me.

I’m passionate undergraduate 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.

I am currently solving visual reasoning benchmark, Abstraction and Reasoning Corpus (ARC) with Prof. Sundong 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. If you’d like to contact me before that happens, please check the contact information on the left!

Publications

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

CODE PAPER

@article{LoTHneurips2024Lee,
  title = {{Reasoning Abilities of Large Language Models through the Lens of Abstraction and Reasoning (Extended Abstract of the below paper)}},
  author = {Lee, Seungpil and Sim, Woochang and Shin, Donghyeon and Kim, Sejin and Kim, Sundong},
  booktitle = {NeurIPS Workshop on System-2 Reasoning at Scale},
  year = {2024},
  }

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

CODE PAPER

@article{LoTH_TIST2024,
  title = {{Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus}},
  author = {Lee, Seungpil and Sim, Woochang and Shin, Donghyeon and Seo, Wongyu and Park, Jiwon and Lee, Seokki and Hwang, Sanha and Kim, Sejin and Kim, Sundong},
  journal = {ACM Transactions on Intelligent Systems and Technology (Accept with Minor Revision)},
  year = {2024},
}

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

CODE PAPER

@article{Revisit_KAIS19,
  author = {Kim, Sundong and Lee, Jae-Gil},
  title = {{From Generation to Selection: Findings of Converting Analogical Problem-Solving into Multiple-Choice Questions}},
  author = {Shin, Donghyeon and Lee, Seungpil and Kovacec, Klea Lena and Kim, Sundong},
  booktitle = {EMNLP Findings},
  year = {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

CODE PAPER

@article{regulation2024shin,
  author = {Donghyeon Shin, Seungpil Lee, Klea Lena Kovacec, and Sundong Kim},
  title = {{Regulation Using Large Language Models to Generate Synthetic Data for Evaluating Analogical Ability}},
  author = {Shin, Donghyeon and Lee, Seungpil and Kovacec, Klea Lena and Kim, Sundong},
  booktitle = {IJCAI Workshop on Analogical Abstraction in Cognition, Perception, and Language},
  year = {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

CODE PAPER

@article{arcle2024lee,
  author = {Hosung Lee, Sejin Kim, Seungpil Lee, Sanha Hwang, Jihwan Lee, Byung-Jun Lee, and Sundong Kim},
  title = {{ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning}},
  author = {Lee, Hosung and Kim, Sejin and Lee, Seungpil and Hwang, Sanha and Lee, Jihwan and Lee, Byung-Jun and Kim, Sundong},
  booktitle = {CoLLAs},
  year = {2024}
}

Domestic Conference

Extracting the core knowledge of ARC with the World Model

KSC, 2023

CODE PAPER

Evaluating Prior Knowledge of ARC Using World Models

KSC, 2023

CODE PAPER