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
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
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
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
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