no code implementations • 20 Dec 2022 • Yaoming Zhu, Zewei Sun, Shanbo Cheng, Luyang Huang, Liwei Wu, Mingxuan Wang
Therefore, this paper correspondingly establishes new methods and new datasets for MMT.
1 code implementation • 24 Jan 2022 • Yaoming Zhu, Liwei Wu, Shanbo Cheng, Mingxuan Wang
The punctuation restoration task aims to correctly punctuate the output transcriptions of automatic speech recognition systems.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
no code implementations • WMT (EMNLP) 2021 • Lihua Qian, Yi Zhou, Zaixiang Zheng, Yaoming Zhu, Zehui Lin, Jiangtao Feng, Shanbo Cheng, Lei LI, Mingxuan Wang, Hao Zhou
This paper describes the Volctrans' submission to the WMT21 news translation shared task for German->English translation.
1 code implementation • ACL 2022 • Qianqian Dong, Yaoming Zhu, Mingxuan Wang, Lei LI
Given a usually long speech sequence, we develop an efficient monotonic segmentation module inside an encoder-decoder model to accumulate acoustic information incrementally and detect proper speech unit boundaries for the input in speech translation task.
1 code implementation • Findings (EMNLP) 2021 • Yaoming Zhu, Jiangtao Feng, Chengqi Zhao, Mingxuan Wang, Lei LI
Developing a unified multilingual model has long been a pursuit for machine translation.
no code implementations • WMT (EMNLP) 2020 • Liwei Wu, Xiao Pan, Zehui Lin, Yaoming Zhu, Mingxuan Wang, Lei LI
This paper describes our VolcTrans system on WMT20 shared news translation task.
3 code implementations • 13 Sep 2020 • Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Wei-Nan Zhang, Yong Yu
With the rapid development in online education, knowledge tracing (KT) has become a fundamental problem which traces students' knowledge status and predicts their performance on new questions.
Ranked #7 on
Knowledge Tracing
on EdNet
no code implementations • 10 Sep 2019 • Liheng Chen, Hongyi Guo, Yali Du, Fei Fang, Haifeng Zhang, Yaoming Zhu, Ming Zhou, Wei-Nan Zhang, Qing Wang, Yong Yu
Although existing works formulate this problem into a centralized learning with decentralized execution framework, which avoids the non-stationary problem in training, their decentralized execution paradigm limits the agents' capability to coordinate.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
1 code implementation • 25 May 2019 • Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Wei-Nan Zhang, Xin Jiang, Yong Yu
Knowledge base is one of the main forms to represent information in a structured way.
2 code implementations • ICLR 2019 • Sidi Lu, Lantao Yu, Siyuan Feng, Yaoming Zhu, Wei-Nan Zhang, Yong Yu
In this paper, we study the generative models of sequential discrete data.
no code implementations • 15 Mar 2018 • Sidi Lu, Yaoming Zhu, Wei-Nan Zhang, Jun Wang, Yong Yu
This paper presents a systematic survey on recent development of neural text generation models.
1 code implementation • 6 Feb 2018 • Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Wei-Nan Zhang, Jun Wang, Yong Yu
We introduce Texygen, a benchmarking platform to support research on open-domain text generation models.