4 papers
Handling Korean Out-of-Vocabulary Words with Phoneme Representation Learning
Nayeon Kim, Eojin Jeon, Jun-Hyung Park +1
In this study, we introduce KOPL, a novel framework for handling Korean OOV words with Phoneme representation Learning. Our work is based on the linguistic property of Korean as a…
Polishing Every Facet of the GEM: Testing Linguistic Competence of LLMs and Humans in Korean
SungHo Kim, Nayeon Kim, Taehee Jeon +1
We introduce the , designed to assess the linguistic competence of LLMs and humans in K…
Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models
Jaeyoung Choe, Keonwoong Noh, Nayeon Kim +2
Over the past few years, various domain-specific pretrained language models (PLMs) have been proposed and have outperformed general-domain PLMs in specialized areas such as biomedi…
Kanana: Compute-efficient Bilingual Language Models
Kanana LLM Team, Yunju Bak, Hojin Lee +26
We introduce Kanana, a series of bilingual language models that demonstrate exceeding performance in Korean and competitive performance in English. The computational cost of Kanana…