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KCSAT-ML: Probing Reasoning Models with Nationwide-Cohort Human Difficulty

Park, Sanghee et al.
arXiv (All) · Papers
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computation-and-language
Math reasoning benchmarks have proliferated, yet most lack a per-item difficulty signal grounded in actual human performance. We introduce KCSAT-ML, a decade (2014-2025) of Korean College Scholastic Ability Test (KCSAT; Suneung) mathematics: 664 problems with a 339-item core set carrying official pe
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