1 code implementation • ACL 2022 • Zhixing Tan, Xiangwen Zhang, Shuo Wang, Yang Liu
Prompting has recently been shown as a promising approach for applying pre-trained language models to perform downstream tasks.
1 code implementation • 24 Jul 2018 • Jing Yang, Biao Zhang, Yue Qin, Xiangwen Zhang, Qian Lin, Jinsong Su
Although neural machine translation(NMT) yields promising translation performance, it unfortunately suffers from over- and under-translation is- sues [Tu et al., 2016], of which studies have become research hotspots in NMT.
2 code implementations • 16 Jan 2018 • Xiangwen Zhang, Jinsong Su, Yue Qin, Yang Liu, Rongrong Ji, Hongji Wang
The dominant neural machine translation (NMT) models apply unified attentional encoder-decoder neural networks for translation.