no code implementations • WMT (EMNLP) 2020 • Yujin Baek, Zae Myung Kim, Jihyung Moon, Hyunjoong Kim, Eunjeong Park
This paper describes the system submitted by Papago team for the quality estimation task at WMT 2020.
no code implementations • WMT (EMNLP) 2021 • Jeonghyeok Park, Hyunjoong Kim, Hyunchang Cho
The provided parallel data are Russian-Chinese (direct), Russian-English (indirect), and English-Chinese (indirect) data.
no code implementations • WMT (EMNLP) 2021 • Seunghyun Lim, Hantae Kim, Hyunjoong Kim
Our multilingual Quality Estimation system explores the combination of Pretrained Language Models and Multi-task Learning architectures.
no code implementations • 1 Aug 2023 • Hyunjoong Kim, Yoichiro Mori, Joshua B Plotkin
We find that foraging efficiency tapers off when recruitment probability is too high -- a phenomenon that does not occur in the infinite-population model, even though it occurs for any finite population size.
no code implementations • 20 Apr 2022 • Hyunjoong Kim, Yoichiro Mori, Joshua B. Plotkin
There is a critical number of signaling molecules at which the efficiency of the two mechanisms are the same.