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Fandong Meng

Modeling Bilingual Conversational Characteristics for Neural Chat Translation


Jul 23, 2021
Yunlong Liang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou

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* Accepted as a long paper at ACL 2021. Code and data are available at https://github.com/XL2248/CPCC 
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Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition


Jul 22, 2021
Ying Zhang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou

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* 9 pages, ACL21 Findings 
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Confidence-Aware Scheduled Sampling for Neural Machine Translation


Jul 22, 2021
Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou

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* Findings of ACL-2021, code at https://github.com/Adaxry/conf_aware_ss4nmt 
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Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue


Jul 12, 2021
Zipeng Xu, Fandong Meng, Xiaojie Wang, Duo Zheng, Chenxu Lv, Jie Zhou

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Rethinking the Evaluation of Neural Machine Translation


Jun 29, 2021
Jianhao Yan, Chenming Wu, Fandong Meng, Jie Zhou

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* Submitted to NeurIPS 2021 
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Sequence-Level Training for Non-Autoregressive Neural Machine Translation


Jun 15, 2021
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou

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Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation


Jun 10, 2021
Yuanxin Liu, Fandong Meng, Zheng Lin, Weiping Wang, Jie Zhou

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* Accepted by ACL 2021 
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GTM: A Generative Triple-Wise Model for Conversational Question Generation


Jun 07, 2021
Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie Zhou

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* To appear at ACL 2021 main conference (long paper) 
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Exploring Dynamic Selection of Branch Expansion Orders for Code Generation


Jun 01, 2021
Hui Jiang, Chulun Zhou, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu, Jinsong Su

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* Accepted by ACL 2021 main conference 
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Prevent the Language Model from being Overconfident in Neural Machine Translation


May 31, 2021
Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou

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* Accepted as a long paper at ACL 2021. Code is available at: https://github.com/Mlair77/nmt_adequacy 
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Selective Knowledge Distillation for Neural Machine Translation


May 27, 2021
Fusheng Wang, Jianhao Yan, Fandong Meng, Jie Zhou

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* Accepted as a long paper at ACL 2021. Code is available at https://github.com/LeslieOverfitting/selective_distillation 
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Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation


May 27, 2021
Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu, Jie Zhou

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* Accepted by ACL-IJCNLP 2021 main conference (short paper). Code is available at: https://github.com/xydaytoy/BMI-NMT 
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Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation


Dec 09, 2020
Yunlong Liang, Fandong Meng, Ying Zhang, Jinan Xu, Yufeng Chen, Jie Zhou

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* Accepted at AAAI 2021, Code:https://github.com/XL2248/HGNN 
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Multi-Unit Transformers for Neural Machine Translation


Oct 23, 2020
Jianhao Yan, Fandong Meng, Jie Zhou

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* Accepted as a main conference paper in EMNLP 2020 
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Multi-Unit Transformer for Neural Machine Translation


Oct 21, 2020
Jianhao Yan, Fandong Meng, Jie Zhou

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* Accepted as a main conference paper in EMNLP 2020 
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A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph


Oct 12, 2020
Lin Qiao, Jianhao Yan, Fandong Meng, Zhendong Yang, Jie Zhou

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* Accepted as a regular paper in Findings of EMNLP 2020 
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MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection


Oct 10, 2020
Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou

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Token-level Adaptive Training for Neural Machine Translation


Oct 09, 2020
Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu

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* 12 pages; Accepted by EMNLP 2020 
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WeChat Neural Machine Translation Systems for WMT20


Oct 05, 2020
Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou

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* Accepted at WMT 2020. Our Chinese to English system achieved the highest case-sensitive BLEU score among all submissions 
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Dynamic Context-guided Capsule Network for Multimodal Machine Translation


Sep 04, 2020
Huan Lin, Fandong Meng, Jinsong Su, Yongjing Yin, Zhengyuan Yang, Yubin Ge, Jie Zhou, Jiebo Luo

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Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis


Aug 12, 2020
Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou

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* rejected in emnlp-ijcnlp 2019 as a short paper(3/3/3) 
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A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation


Jul 17, 2020
Yongjing Yin, Fandong Meng, Jinsong Su, Chulun Zhou, Zhengyuan Yang, Jie Zhou, Jiebo Luo

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Dual Past and Future for Neural Machine Translation


Jul 17, 2020
Jianhao Yan, Fandong Meng, Jie Zhou

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A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking


Jun 02, 2020
Yong Shan, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Cheng Niu, Jie Zhou

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* Accepted as a long paper at ACL 2020. Code is available at https://github.com/ictnlp/CHAN-DST 
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Explicitly Modeling Adaptive Depths for Transformer


Apr 29, 2020
Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu

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* Code is available at: https://github.com/Adaxry/Adaptive-Transformer. arXiv admin note: text overlap with arXiv:2003.00166 
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Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization


Apr 26, 2020
Zeyang Lei, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Yujiu Yang, Cheng Niu, Jie Zhou

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