Publications

@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},
  }

@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},
}

@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},
  }

@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},
  }

@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}
}