Publications

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), 2025

CODE PAPER

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

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

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

CODE PAPER

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

CODE PAPER

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

CODE PAPER

MC-LARC Benchmark to Measure LLM Reasoning Capability

KSC, 2023

Abstraction and Reasoning Challenge with Decision Transformer

KCC, 2023

Walk-on-Hemispheres First-Passage Algorithm

Jinseong Son*, Donghyeon Shin, and Chi-Ok Hwang†

Scientific Reports, 2023

CODE PAPER