Xing Wang

According to our database, Xing Wang authored at least 50 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments.

Jen-tse Huang, Eric John Li, Man Ho Lam, Tian Liang, Wenxuan Wang, Youliang Yuan, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Michael R. Lyu

CoRR, 2024

2023

Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models.

Tian Liang, Zhiwei He, Jen-tse Huang, Wenxuan Wang, Wenxiang Jiao, Rui Wang, Yujiu Yang, Zhaopeng Tu, Shuming Shi, Xing Wang

CoRR, 2023

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Zhaopeng Tu, Shuming Shi

CoRR, 2023

Exploring Human-Like Translation Strategy with Large Language Models.

Zhiwei He, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Yujiu Yang, Rui Wang, Zhaopeng Tu, Shuming Shi, Xing Wang

CoRR, 2023

ParroT: Translating During Chat Using Large Language Models.

Wenxiang Jiao, Jen-tse Huang, Wenxuan Wang, Xing Wang, Shuming Shi, Zhaopeng Tu

CoRR, 2023

Is ChatGPT A Good Translator? A Preliminary Study.

Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Xing Wang, Zhaopeng Tu

CoRR, 2023

Cross-modality Data Augmentation for End-to-End Sign Language Translation.

Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Hui Xiong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation.

Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation.

Wenxiang Jiao, Xing Wang, Shilin He, Zhaopeng Tu, Irwin King, Michael R. Lyu

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Learning to refine source representations for neural machine translation.

Xinwei Geng, Longyue Wang, Xing Wang, Mingtao Yang, Xiaocheng Feng, Bing Qin, Zhaopeng Tu

Int. J. Mach. Learn. Cybern., 2022

Tencent AI Lab - Shanghai Jiao Tong University Low-Resource Translation System for the WMT22 Translation Task.

Zhiwei He, Xing Wang, Zhaopeng Tu, Shuming Shi, Rui Wang

Proceedings of the Seventh Conference on Machine Translation, 2022

Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation.

Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation.

Zhiwei He, Xing Wang, Rui Wang, Shuming Shi, Zhaopeng Tu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

On the diversity of multi-head attention.

Jian Li, Xing Wang, Zhaopeng Tu, Michael R. Lyu

Neurocomputing, 2021

TranSmart: A Practical Interactive Machine Translation System.

Guoping Huang, Lemao Liu, Xing Wang, Longyue Wang, Huayang Li, Zhaopeng Tu, Chengyan Huang, Shuming Shi

CoRR, 2021

Tencent AI Lab Machine Translation Systems for the WMT21 Biomedical Translation Task.

Xing Wang, Zhaopeng Tu, Shuming Shi

Proceedings of the Sixth Conference on Machine Translation, 2021

Tencent Translation System for the WMT21 News Translation Task.

Longyue Wang, Mu Li, Fangxu Liu, Shuming Shi, Zhaopeng Tu, Xing Wang, Shuangzhi Wu, Jiali Zeng, Wen Zhang

Proceedings of the Sixth Conference on Machine Translation, 2021

Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation.

Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation.

Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

A Novel Sentence-Level Agreement Architecture for Neural Machine Translation.

Mingming Yang, Rui Wang, Kehai Chen, Xing Wang, Tiejun Zhao, Min Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Exploiting deep representations for natural language processing.

Zi-Yi Dou, Xing Wang, Shuming Shi, Zhaopeng Tu

Neurocomputing, 2020

Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models.

Shilin He, Xing Wang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu

CoRR, 2020

Tencent Neural Machine Translation Systems for the WMT20 News Translation Task.

Shuangzhi Wu, Xing Wang, Longyue Wang, Fangxu Liu, Jun Xie, Zhaopeng Tu, Shuming Shi, Mu Li

Proceedings of the Fifth Conference on Machine Translation, 2020

Tencent AI Lab Machine Translation Systems for the WMT20 Biomedical Translation Task.

Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi

Proceedings of the Fifth Conference on Machine Translation, 2020

Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task.

Longyue Wang, Zhaopeng Tu, Xing Wang, Li Ding, Liang Ding, Shuming Shi

Proceedings of the Fifth Conference on Machine Translation, 2020

Incorporating Phrase-Level Agreement into Neural Machine Translation.

Mingming Yang, Xing Wang, Min Zhang, Tiejun Zhao

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation.

Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

How Does Selective Mechanism Improve Self-Attention Networks?

Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Neuron Interaction Based Representation Composition for Neural Machine Translation.

Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Information Aggregation for Multi-Head Attention with Routing-by-Agreement.

Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Modeling Recurrence for Transformer.

Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang, Zhaopeng Tu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Self-Attention with Structural Position Representations.

Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

One Model to Learn Both: Zero Pronoun Prediction and Translation.

Longyue Wang, Zhaopeng Tu, Xing Wang, Shuming Shi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Towards Understanding Neural Machine Translation with Word Importance.

Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons.

Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multi-Granularity Self-Attention for Neural Machine Translation.

Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Exploiting Sentential Context for Neural Machine Translation.

Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Context-Aware Self-Attention Networks.

Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement.

Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Incorporating Statistical Machine Translation Word Knowledge Into Neural Machine Translation.

Xing Wang, Zhaopeng Tu, Min Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2018

Learning to Refine Source Representations for Neural Machine Translation.

Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu

CoRR, 2018

Exploiting Deep Representations for Neural Machine Translation.

Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, Tong Zhang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Translating Phrases in Neural Machine Translation.

Xing Wang, Zhaopeng Tu, Deyi Xiong, Min Zhang

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Machine Translation Advised by Statistical Machine Translation.

Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

Topic-Based Coherence Modeling for Statistical Machine Translation.

Deyi Xiong, Min Zhang, Xing Wang

IEEE ACM Trans. Audio Speech Lang. Process., 2015

Learning Semantic Representations for Nonterminals in Hierarchical Phrase-Based Translation.

Xing Wang, Deyi Xiong, Min Zhang

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

A Topic-Based Reordering Model for Statistical Machine Translation.

Xing Wang, Deyi Xiong, Min Zhang, Yu Hong, Jianmin Yao

Proceedings of the Natural Language Processing and Chinese Computing, 2014

Effective Selection of Translation Model Training Data.

Le Liu, Yu Hong, Hao Liu, Xing Wang, Jian-Min Yao

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Rule Refinement for Spoken Language Translation by Retrieving the Missing Translation of Content Words.

Linfeng Song, Jun Xie, Xing Wang, Yajuan Lv, Qun Liu

Proceedings of the 2013 International Conference on Asian Language Processing, 2013

Phrase Filtering for Content Words in Hierarchical Phrase-Based Model.

Xing Wang, Jun Xie, Linfeng Song, Yajuan Lv, Jian-Min Yao

Proceedings of the Chinese Lexical Semantics - 14th Workshop, 2013