most citedOptimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean

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cs.CL2025

KFinEval-Pilot: A Comprehensive Benchmark Suite for Korean Financial Language Understanding

Bokwang Hwang, Seonkyu Lim, Taewoong Kim +24

We introduce KFinEval-Pilot, a benchmark suite specifically designed to evaluate large language models (LLMs) in the Korean financial domain. Addressing the limitations of existing…

cs.CL2024★ 1 cited

Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean

ChangSu Choi, Yongbin Jeong, Seoyoon Park +11

Large language models (LLMs) use pretraining to predict the subsequent word; however, their expansion requires significant computing resources. Numerous big tech companies and rese…