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Goun Pyeon

As seen in: Taylor & Francis Online
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Articles

Evaluating Large Language Models on the 2026 Korean CSAT Mathematics Exam: Measuring Mathematical Ability in a Zero-Data-Leakage Setting

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By Goun Pyeon, Inbum Heo, Jeesu Jung
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT This study systematically evaluates the mathematical reasoning capabilities of Large Language Models (LLMs) using the 2026 Korean CSAT Mathematics section in a strictly contamination-free setting.
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[2509.25701] What Drives Paper Acceptance? A Process-Centric Analysis of Modern Peer Review

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By Goun Pyeon, Inbum Heo, Hyungjin Ahn
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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