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2020 – today
- 2023
[j13]Ante Wang, Linfeng Song, Qi Liu, Haitao Mi, Longyue Wang
, Zhaopeng Tu, Jinsong Su, Dong Yu:
Search-engine-augmented dialogue response generation with cheaply supervised query production. Artif. Intell. 319: 103874 (2023)- [j12]Mingzhou Xu, Longyue Wang, Siyou Liu, Derek F. Wong, Shuming Shi, Zhaopeng Tu:
A benchmark dataset and evaluation methodology for Chinese zero pronoun translation. Lang. Resour. Evaluation 57(3): 1263-1293 (2023) - [c93]Longyue Wang, Siyou Liu, Mingzhou Xu, Linfeng Song, Shuming Shi, Zhaopeng Tu:
A Survey on Zero Pronoun Translation. ACL (1) 2023: 3325-3339 - [c92]Zhihao Wang, Longyue Wang, Jinsong Su, Junfeng Yao, Zhaopeng Tu:
Revisiting Non-Autoregressive Translation at Scale. ACL (Findings) 2023: 12051-12065 - [c91]Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu:
Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation. EACL 2023: 463-476 - [c90]Yichao Du, Zhengsheng Guo, Jinchuan Tian, Zhirui Zhang, Xing Wang, Jianwei Yu, Zhaopeng Tu, Tong Xu, Enhong Chen:
The MineTrans Systems for IWSLT 2023 Offline Speech Translation and Speech-to-Speech Translation Tasks. IWSLT@ACL 2023: 79-88 - [i86]Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Xing Wang, Zhaopeng Tu:
Is ChatGPT A Good Translator? A Preliminary Study. CoRR abs/2301.08745 (2023) - [i85]Ante Wang, Linfeng Song, Qi Liu, Haitao Mi, Longyue Wang, Zhaopeng Tu, Jinsong Su, Dong Yu:
Search-Engine-augmented Dialogue Response Generation with Cheaply Supervised Query Production. CoRR abs/2302.09300 (2023) - [i84]Longyue Wang, Chenyang Lyu, Tianbo Ji, Zhirui Zhang, Dian Yu, Shuming Shi, Zhaopeng Tu:
Document-Level Machine Translation with Large Language Models. CoRR abs/2304.02210 (2023) - [i83]Wenxiang Jiao, Jen-tse Huang, Wenxuan Wang, Xing Wang, Shuming Shi, Zhaopeng Tu:
ParroT: Translating During Chat Using Large Language Models. CoRR abs/2304.02426 (2023) - [i82]Zhiwei He, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Yujiu Yang, Rui Wang, Zhaopeng Tu, Shuming Shi, Xing Wang:
Exploring Human-Like Translation Strategy with Large Language Models. CoRR abs/2305.04118 (2023) - [i81]Longyue Wang, Siyou Liu, Mingzhou Xu, Linfeng Song, Shuming Shi, Zhaopeng Tu:
A Survey on Zero Pronoun Translation. CoRR abs/2305.10196 (2023) - [i80]Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Hui Xiong:
Cross-modality Data Augmentation for End-to-End Sign Language Translation. CoRR abs/2305.11096 (2023) - [i79]Zhihao Wang, Longyue Wang, Jinsong Su, Junfeng Yao, Zhaopeng Tu:
Revisiting Non-Autoregressive Translation at Scale. CoRR abs/2305.16155 (2023) - [i78]Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Zhaopeng Tu, Shuming Shi:
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate. CoRR abs/2305.19118 (2023) - [i77]Chenyang Lyu, Minghao Wu, Longyue Wang, Xinting Huang, Bingshuai Liu, Zefeng Du, Shuming Shi, Zhaopeng Tu:
Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration. CoRR abs/2306.09093 (2023) - [i76]Bingshuai Liu, Longyue Wang, Chenyang Lyu, Yong Zhang, Jinsong Su, Shuming Shi, Zhaopeng Tu:
On the Cultural Gap in Text-to-Image Generation. CoRR abs/2307.02971 (2023) - [i75]Longyue Wang, Zefeng Du, Donghuai Liu, Deng Cai, Dian Yu, Haiyun Jiang, Yan Wang, Leyang Cui, Shuming Shi, Zhaopeng Tu:
Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling. CoRR abs/2307.08074 (2023) - [i74]Jen-tse Huang, Man Ho Lam, Eric John Li, Shujie Ren, Wenxuan Wang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu:
Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench. CoRR abs/2308.03656 (2023) - [i73]Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He, Shuming Shi, Zhaopeng Tu:
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher. CoRR abs/2308.06463 (2023) - 2022
- [j11]Xinwei Geng, Longyue Wang, Xing Wang, Mingtao Yang, Xiaocheng Feng, Bing Qin, Zhaopeng Tu:
Learning to refine source representations for neural machine translation. Int. J. Mach. Learn. Cybern. 13(8): 2199-2212 (2022) - [j10]Wenxiang Jiao, Xing Wang, Shilin He, Zhaopeng Tu, Irwin King, Michael R. Lyu:
Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 931-943 (2022) - [c89]Liang Ding, Longyue Wang, Shuming Shi, Dacheng Tao, Zhaopeng Tu:
Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation. ACL (1) 2022: 2417-2426 - [c88]Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu:
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. ACL (1) 2022: 2591-2600 - [c87]Zhiwei He, Xing Wang, Rui Wang, Shuming Shi, Zhaopeng Tu:
Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation. ACL (1) 2022: 6611-6623 - [c86]Cunxiao Du, Zhaopeng Tu, Longyue Wang, Jing Jiang:
ngram-OAXE: Phrase-Based Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation. COLING 2022: 5035-5045 - [c85]Shuo Wang, Peng Li, Zhixing Tan, Zhaopeng Tu, Maosong Sun, Yang Liu:
A Template-based Method for Constrained Neural Machine Translation. EMNLP 2022: 3665-3679 - [c84]Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu, Mrinmaya Sachan:
Adapters for Enhanced Modeling of Multilingual Knowledge and Text. EMNLP (Findings) 2022: 3902-3917 - [c83]Mingzhou Xu, Longyue Wang, Derek F. Wong, Hongye Liu, Linfeng Song, Lidia S. Chao, Shuming Shi, Zhaopeng Tu:
GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation. EMNLP 2022: 11266-11278 - [c82]Zhiwei He, Xing Wang, Zhaopeng Tu, Shuming Shi, Rui Wang:
Tencent AI Lab - Shanghai Jiao Tong University Low-Resource Translation System for the WMT22 Translation Task. WMT 2022: 260-267 - [c81]Wenxiang Jiao, Zhaopeng Tu, Jiarui Li, Wenxuan Wang, Jen-tse Huang, Shuming Shi:
Tencent's Multilingual Machine Translation System for WMT22 Large-Scale African Languages. WMT 2022: 1049-1056 - [i72]Zhiwei He, Xing Wang, Rui Wang, Shuming Shi, Zhaopeng Tu:
Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation. CoRR abs/2203.08394 (2022) - [i71]Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu:
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. CoRR abs/2203.08442 (2022) - [i70]Wenxuan Wang, Wenxiang Jiao, Shuo Wang, Zhaopeng Tu, Michael R. Lyu:
Understanding and Mitigating the Uncertainty in Zero-Shot Translation. CoRR abs/2205.10068 (2022) - [i69]Shuo Wang, Peng Li, Zhixing Tan, Zhaopeng Tu, Maosong Sun, Yang Liu:
A Template-based Method for Constrained Neural Machine Translation. CoRR abs/2205.11255 (2022) - [i68]Cunxiao Du, Zhaopeng Tu, Longyue Wang, Jing Jiang:
ngram-OAXE: Phrase-Based Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation. CoRR abs/2210.03999 (2022) - [i67]Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu:
Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation. CoRR abs/2210.07054 (2022) - [i66]Zhiwei He, Xing Wang, Zhaopeng Tu, Shuming Shi, Rui Wang:
Tencent AI Lab - Shanghai Jiao Tong University Low-Resource Translation System for the WMT22 Translation Task. CoRR abs/2210.08742 (2022) - [i65]Wenxiang Jiao, Zhaopeng Tu, Jiarui Li, Wenxuan Wang, Jen-tse Huang, Shuming Shi:
Tencent's Multilingual Machine Translation System for WMT22 Large-Scale African Languages. CoRR abs/2210.09644 (2022) - [i64]Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu, Mrinmaya Sachan:
Adapters for Enhanced Modeling of Multilingual Knowledge and Text. CoRR abs/2210.13617 (2022) - 2021
- [j9]Jian Li, Xing Wang, Zhaopeng Tu, Michael R. Lyu:
On the diversity of multi-head attention. Neurocomputing 454: 14-24 (2021) - [j8]Baosong Yang, Longyue Wang, Derek F. Wong, Shuming Shi, Zhaopeng Tu:
Context-aware Self-Attention Networks for Natural Language Processing. Neurocomputing 458: 157-169 (2021) - [j7]Xintong Li, Lemao Liu, Zhaopeng Tu, Guanlin Li, Shuming Shi, Max Q.-H. Meng:
Attending From Foresight: A Novel Attention Mechanism for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2606-2616 (2021) - [c80]Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Progressive Multi-Granularity Training for Non-Autoregressive Translation. ACL/IJCNLP (Findings) 2021: 2797-2803 - [c79]Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. ACL/IJCNLP (1) 2021: 2840-2850 - [c78]Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. ACL/IJCNLP (1) 2021: 3431-3441 - [c77]Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu:
On the Copying Behaviors of Pre-Training for Neural Machine Translation. ACL/IJCNLP (Findings) 2021: 4265-4275 - [c76]Shuo Wang, Zhaopeng Tu, Zhixing Tan, Shuming Shi, Maosong Sun, Yang Liu:
On the Language Coverage Bias for Neural Machine Translation. ACL/IJCNLP (Findings) 2021: 4778-4790 - [c75]Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu:
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. EMNLP (Findings) 2021: 2900-2907 - [c74]Jie Hao, Linfeng Song, Liwei Wang, Kun Xu, Zhaopeng Tu, Dong Yu:
RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging. EMNLP (1) 2021: 4913-4924 - [c73]Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu:
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. ICLR 2021 - [c72]Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Understanding and Improving Lexical Choice in Non-Autoregressive Translation. ICLR 2021 - [c71]Cunxiao Du, Zhaopeng Tu, Jing Jiang:
Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation. ICML 2021: 2849-2859 - [c70]Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang:
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. NAACL-HLT 2021: 3989-3996 - [c69]Longyue Wang, Mu Li, Fangxu Liu, Shuming Shi, Zhaopeng Tu, Xing Wang, Shuangzhi Wu, Jiali Zeng, Wen Zhang:
Tencent Translation System for the WMT21 News Translation Task. WMT@EMNLP 2021: 216-224 - [c68]Xing Wang, Zhaopeng Tu, Shuming Shi:
Tencent AI Lab Machine Translation Systems for the WMT21 Biomedical Translation Task. WMT@EMNLP 2021: 874-878 - [i63]Guoping Huang, Lemao Liu, Xing Wang, Longyue Wang, Huayang Li, Zhaopeng Tu, Chengyan Huang, Shuming Shi:
TranSmart: A Practical Interactive Machine Translation System. CoRR abs/2105.13072 (2021) - [i62]Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. CoRR abs/2106.00903 (2021) - [i61]Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. CoRR abs/2106.00941 (2021) - [i60]Shuo Wang, Zhaopeng Tu, Zhixing Tan, Shuming Shi, Maosong Sun, Yang Liu:
On the Language Coverage Bias for Neural Machine Translation. CoRR abs/2106.03297 (2021) - [i59]Cunxiao Du, Zhaopeng Tu, Jing Jiang:
Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation. CoRR abs/2106.05093 (2021) - [i58]Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Progressive Multi-Granularity Training for Non-Autoregressive Translation. CoRR abs/2106.05546 (2021) - [i57]Shuo Wang, Zhaopeng Tu, Zhixing Tan, Wenxuan Wang, Maosong Sun, Yang Liu:
Language Models are Good Translators. CoRR abs/2106.13627 (2021) - [i56]Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu:
On the Copying Behaviors of Pre-Training for Neural Machine Translation. CoRR abs/2107.08212 (2021) - [i55]Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu:
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. CoRR abs/2110.01811 (2021) - 2020
- [j6]Zi-Yi Dou, Xing Wang, Shuming Shi, Zhaopeng Tu:
Exploiting deep representations for natural language processing. Neurocomputing 386: 1-7 (2020) - [c67]Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu:
Neuron Interaction Based Representation Composition for Neural Machine Translation. AAAI 2020: 8204-8211 - [c66]Yong Wang, Longyue Wang, Shuming Shi, Victor O. K. Li, Zhaopeng Tu:
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. AAAI 2020: 9233-9241 - [c65]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? ACL 2020: 2986-2995 - [c64]Shuo Wang, Zhaopeng Tu, Shuming Shi, Yang Liu:
On the Inference Calibration of Neural Machine Translation. ACL 2020: 3070-3079 - [c63]Yongquan He, Zihan Wang, Peng Zhang, Zhaopeng Tu, Zhaochun Ren:
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors. CIKM 2020: 505-514 - [c62]Deyu Zhou, Shuangzhi Wu, Qing Wang, Jun Xie, Zhaopeng Tu, Mu Li:
Emotion Classification by Jointly Learning to Lexiconize and Classify. COLING 2020: 3235-3245 - [c61]Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, Zhaopeng Tu:
Context-Aware Cross-Attention for Non-Autoregressive Translation. COLING 2020: 4396-4402 - [c60]Qintong Li, Hongshen Chen, Zhaochun Ren, Pengjie Ren, Zhaopeng Tu, Zhumin Chen:
EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation. COLING 2020: 4454-4466 - [c59]Wenxuan Wang, Zhaopeng Tu:
Rethinking the Value of Transformer Components. COLING 2020: 6019-6029 - [c58]Yong Wang, Longyue Wang, Victor O. K. Li, Zhaopeng Tu:
On the Sparsity of Neural Machine Translation Models. EMNLP (1) 2020: 1060-1066 - [c57]Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu:
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. EMNLP (1) 2020: 2255-2266 - [c56]Yilin Yang, Longyue Wang, Shuming Shi, Prasad Tadepalli, Stefan Lee, Zhaopeng Tu:
On the Sub-Layer Functionalities of Transformer Decoder. EMNLP (Findings) 2020: 4799-4811 - [c55]Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma:
Auxiliary Template-Enhanced Generative Compatibility Modeling. IJCAI 2020: 3508-3514 - [c54]Chuan Meng, Pengjie Ren, Zhumin Chen, Weiwei Sun, Zhaochun Ren, Zhaopeng Tu, Maarten de Rijke:
DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation. SIGIR 2020: 1151-1160 - [c53]Shuangzhi Wu, Xing Wang, Longyue Wang, Fangxu Liu, Jun Xie, Zhaopeng Tu, Shuming Shi, Mu Li:
Tencent Neural Machine Translation Systems for the WMT20 News Translation Task. WMT@EMNLP 2020: 313-319 - [c52]Longyue Wang, Zhaopeng Tu, Xing Wang, Li Ding, Liang Ding, Shuming Shi:
Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task. WMT@EMNLP 2020: 483-491 - [c51]Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Tencent AI Lab Machine Translation Systems for the WMT20 Biomedical Translation Task. WMT@EMNLP 2020: 881-886 - [i54]Shilin He, Xing Wang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu:
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models. CoRR abs/2004.13270 (2020) - [i53]Shuo Wang, Zhaopeng Tu, Shuming Shi, Yang Liu:
On the Inference Calibration of Neural Machine Translation. CoRR abs/2005.00963 (2020) - [i52]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? CoRR abs/2005.00979 (2020) - [i51]Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu:
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. CoRR abs/2010.02552 (2020) - [i50]Yong Wang, Longyue Wang, Victor O. K. Li, Zhaopeng Tu:
On the Sparsity of Neural Machine Translation Models. CoRR abs/2010.02646 (2020) - [i49]Yilin Yang, Longyue Wang, Shuming Shi, Prasad Tadepalli, Stefan Lee, Zhaopeng Tu:
On the Sub-Layer Functionalities of Transformer Decoder. CoRR abs/2010.02648 (2020) - [i48]Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang:
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. CoRR abs/2010.12868 (2020) - [i47]Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, Zhaopeng Tu:
Context-Aware Cross-Attention for Non-Autoregressive Translation. CoRR abs/2011.00770 (2020) - [i46]Wenxuan Wang, Zhaopeng Tu:
Rethinking the Value of Transformer Components. CoRR abs/2011.03803 (2020) - [i45]Jie Hao, Linfeng Song, Liwei Wang, Kun Xu, Zhaopeng Tu, Dong Yu:
Robust Dialogue Utterance Rewriting as Sequence Tagging. CoRR abs/2012.14535 (2020) - [i44]Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Understanding and Improving Lexical Choice in Non-Autoregressive Translation. CoRR abs/2012.14583 (2020) - [i43]Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu:
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. CoRR abs/2012.14768 (2020)
2010 – 2019
- 2019
- [c50]Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang:
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement. AAAI 2019: 86-93 - [c49]Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu:
Context-Aware Self-Attention Networks. AAAI 2019: 387-394 - [c48]Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard H. Hovy, Tong Zhang:
Neural Machine Translation with Adequacy-Oriented Learning. AAAI 2019: 6618-6625 - [c47]Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu:
Assessing the Ability of Self-Attention Networks to Learn Word Order. ACL (1) 2019: 3635-3644 - [c46]Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Exploiting Sentential Context for Neural Machine Translation. ACL (1) 2019: 6197-6203 - [c45]Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu:
Multi-Granularity Self-Attention for Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 887-897 - [c44]Longyue Wang, Zhaopeng Tu, Xing Wang, Shuming Shi:
One Model to Learn Both: Zero Pronoun Prediction and Translation. EMNLP/IJCNLP (1) 2019: 921-930 - [c43]Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, Xin-Yu Dai, Jiajun Chen:
Dynamic Past and Future for Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 931-941 - [c42]Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi:
Towards Understanding Neural Machine Translation with Word Importance. EMNLP/IJCNLP (1) 2019: 953-962 - [c41]Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu:
Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons. EMNLP/IJCNLP (1) 2019: 1336-1341 - [c40]Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Self-Attention with Structural Position Representations. EMNLP/IJCNLP (1) 2019: 1403-1409 - [c39]Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Shuming Shi:
Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework. EMNLP/IJCNLP (1) 2019: 1866-1875 - [c38]Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang, Zhaopeng Tu:
Modeling Recurrence for Transformer. NAACL-HLT (1) 2019: 1198-1207 - [c37]Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam, Shuming Shi:
Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. NAACL-HLT (1) 2019: 1219-1228 - [c36]Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu:
Information Aggregation for Multi-Head Attention with Routing-by-Agreement. NAACL-HLT (1) 2019: 3566-3575 - [c35]Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu:
Convolutional Self-Attention Networks. NAACL-HLT (1) 2019: 4040-4045 - [i42]Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu:
Context-Aware Self-Attention Networks. CoRR abs/1902.05766 (2019) - [i41]Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang:
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement. CoRR abs/1902.05770 (2019) - [i40]Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang, Zhaopeng Tu:
Modeling Recurrence for Transformer. CoRR abs/1904.03092 (2019) - [i39]Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu:
Information Aggregation for Multi-Head Attention with Routing-by-Agreement. CoRR abs/1904.03100 (2019) - [i38]Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu:
Convolutional Self-Attention Networks. CoRR abs/1904.03107 (2019) - [i37]Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, Xin-Yu Dai, Jiajun Chen:
Dynamic Past and Future for Neural Machine Translation. CoRR abs/1904.09646 (2019) - [i36]Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu:
Assessing the Ability of Self-Attention Networks to Learn Word Order. CoRR abs/1906.00592 (2019) - [i35]Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Exploiting Sentential Context for Neural Machine Translation. CoRR abs/1906.01268 (2019) - [i34]Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi:
Towards Understanding Neural Machine Translation with Word Importance. CoRR abs/1909.00326 (2019) - [i33]Longyue Wang, Zhaopeng Tu,