2 papers
cs.CL2026
KCSAT-ML: Probing Reasoning Models with Nationwide-Cohort Human Difficulty
Sanghee Park, Geewook Kim, Kee-Eung Kim
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…
cs.CL2023
Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models
Geewook Kim, Hodong Lee, Daehee Kim +7
Recent advances in Large Language Models (LLMs) have stimulated a surge of research aimed at extending their applications to the visual domain. While these models exhibit promise i…