1 citations · 1 across the 2 of their papers we have counts for
2 papers
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…