1 code implementation • 22 May 2024 • Sang Keun Choe, Hwijeen Ahn, Juhan Bae, Kewen Zhao, Minsoo Kang, Youngseog Chung, Adithya Pratapa, Willie Neiswanger, Emma Strubell, Teruko Mitamura, Jeff Schneider, Eduard Hovy, Roger Grosse, Eric Xing
Large language models (LLMs) are trained on a vast amount of human-written data, but data providers often remain uncredited.
no code implementations • NAACL 2022 • Seongjin Shin, Sang-Woo Lee, Hwijeen Ahn, Sungdong Kim, HyoungSeok Kim, Boseop Kim, Kyunghyun Cho, Gichang Lee, WooMyoung Park, Jung-Woo Ha, Nako Sung
Many recent studies on large-scale language models have reported successful in-context zero- and few-shot learning ability.
1 code implementation • SEMEVAL 2020 • Hwijeen Ahn, Jimin Sun, Chan Young Park, Jungyun Seo
This paper describes our approach to the task of identifying offensive languages in a multilingual setting.
2 code implementations • EACL 2021 • Jimin Sun, Hwijeen Ahn, Chan Young Park, Yulia Tsvetkov, David R. Mortensen
Much work in cross-lingual transfer learning explored how to select better transfer languages for multilingual tasks, primarily focusing on typological and genealogical similarities between languages.