1 code implementation • 26 Feb 2024 • Qinyu Luo, Yining Ye, Shihao Liang, Zhong Zhang, Yujia Qin, Yaxi Lu, Yesai Wu, Xin Cong, Yankai Lin, Yingli Zhang, Xiaoyin Che, Zhiyuan Liu, Maosong Sun
Generative models have demonstrated considerable potential in software engineering, particularly in tasks such as code generation and debugging.
no code implementations • LREC 2020 • Jonathan Sauder, Ting Hu, Xiaoyin Che, Goncalo Mordido, Haojin Yang, Christoph Meinel
Recently, various approaches with Generative Adversarial Nets (GANs) have also been proposed.
no code implementations • WS 2017 • Xiaoyin Che, Nico Ring, Willi Raschkowski, Haojin Yang, Christoph Meinel
In this paper, we propose an alternative evaluating metric for word analogy questions (A to B is as C to D) in word vector evaluation.
no code implementations • LREC 2016 • Xiaoyin Che, Cheng Wang, Haojin Yang, Christoph Meinel
In this paper we propose an approach to predict punctuation marks for unsegmented speech transcript.