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cs.CL2024
ML-Promise: A Multilingual Dataset for Corporate Promise Verification
Yohei Seki, Hakusen Shu, Anaïs Lhuissier +4
Promises made by politicians, corporate leaders, and public figures have a significant impact on public perception, trust, and institutional reputation. However, the complexity and…
cs.CL2024★ 1 cited
KMMLU: Measuring Massive Multitask Language Understanding in Korean
Guijin Son, Hanwool Lee, Sungdong Kim +6
We propose KMMLU, a new Korean benchmark with 35,030 expert-level multiple-choice questions across 45 subjects ranging from humanities to STEM. While prior Korean benchmarks are tr…