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Found 4 papers, 1 papers with code
A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean Language Models
This paper presents our work in developing the Polyglot Korean models, which propose some steps towards addressing the non-English language performance gap in multilingual language models.
APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets
In hate speech detection, developing training and evaluation datasets across various domains is the critical issue.
Transformer-based Korean Pretrained Language Models: A Survey on Three Years of Progress
With the advent of Transformer, which was used in translation models in 2017, attention-based architectures began to attract attention.
Revisiting Modularized Multilingual NMT to Meet Industrial Demands
The complete sharing of parameters for multilingual translation (1-1) has been the mainstream approach in current research.
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