Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Fandong Meng

Fandong Meng

Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings


Oct 13, 2021
Shaopeng Lai, Ante Wang, Fandong Meng, Jie Zhou, Yubin Ge, Jiali Zeng, Junfeng Yao, Degen Huang, Jinsong Su

Figure 1 for Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings
Figure 2 for Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings
Figure 3 for Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings
Figure 4 for Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings
* EMNLP 2021 
  Access Paper or Ask Questions

WeTS: A Benchmark for Translation Suggestion


Oct 11, 2021
Zhen Yang, Yingxue Zhang, Ernan Li, Fandong Meng, Jie Zhou

Figure 1 for WeTS: A Benchmark for Translation Suggestion
Figure 2 for WeTS: A Benchmark for Translation Suggestion
Figure 3 for WeTS: A Benchmark for Translation Suggestion
Figure 4 for WeTS: A Benchmark for Translation Suggestion
* Translation suggestion, Transformer 
  Access Paper or Ask Questions

Simulated annealing for optimization of graphs and sequences


Oct 01, 2021
Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song

Figure 1 for Simulated annealing for optimization of graphs and sequences
Figure 2 for Simulated annealing for optimization of graphs and sequences
Figure 3 for Simulated annealing for optimization of graphs and sequences
Figure 4 for Simulated annealing for optimization of graphs and sequences
* Neurocomputing, 465:310-324 (2021) 
 * This article is an accepted manuscript of Neurocomputing. arXiv admin note: substantial text overlap with arXiv:1909.03588 
  Access Paper or Ask Questions

Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation


Sep 17, 2021
Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li, Jie Zhou

Figure 1 for Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation
Figure 2 for Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation
Figure 3 for Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation
Figure 4 for Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation
* ACL Fingdings 2021 
  Access Paper or Ask Questions

GoG: Relation-aware Graph-over-Graph Network for Visual Dialog


Sep 17, 2021
Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li, Jie Zhou

Figure 1 for GoG: Relation-aware Graph-over-Graph Network for Visual Dialog
Figure 2 for GoG: Relation-aware Graph-over-Graph Network for Visual Dialog
Figure 3 for GoG: Relation-aware Graph-over-Graph Network for Visual Dialog
Figure 4 for GoG: Relation-aware Graph-over-Graph Network for Visual Dialog
* ACL Findings 2021. arXiv admin note: text overlap with arXiv:2109.06013 
  Access Paper or Ask Questions

Competence-based Curriculum Learning for Multilingual Machine Translation


Sep 09, 2021
Mingliang Zhang, Fandong Meng, Yunhai Tong, Jie Zhou

Figure 1 for Competence-based Curriculum Learning for Multilingual Machine Translation
Figure 2 for Competence-based Curriculum Learning for Multilingual Machine Translation
Figure 3 for Competence-based Curriculum Learning for Multilingual Machine Translation
Figure 4 for Competence-based Curriculum Learning for Multilingual Machine Translation
* Accepted by Findings of EMNLP 2021. We release the codes at https://github.com/zml24/ccl-m 
  Access Paper or Ask Questions

Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser


Sep 06, 2021
Duo Zheng, Zipeng Xu, Fandong Meng, Xiaojie Wang, Jiaan Wang, Jie Zhou

Figure 1 for Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser
Figure 2 for Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser
Figure 3 for Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser
Figure 4 for Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser
* Accepted by Findings of EMNLP 2021. Code is available at: https://github.com/zd11024/Entity_Questioner 
  Access Paper or Ask Questions

Towards Making the Most of Dialogue Characteristics for Neural Chat Translation


Sep 02, 2021
Yunlong Liang, Chulun Zhou, Fandong Meng, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou

Figure 1 for Towards Making the Most of Dialogue Characteristics for Neural Chat Translation
Figure 2 for Towards Making the Most of Dialogue Characteristics for Neural Chat Translation
Figure 3 for Towards Making the Most of Dialogue Characteristics for Neural Chat Translation
Figure 4 for Towards Making the Most of Dialogue Characteristics for Neural Chat Translation
* Accepted as a long paper at EMNLP 2021 main conference. The first two authors contributed equally. Code: https://github.com/XL2248/CSA-NCT 
  Access Paper or Ask Questions

Scheduled Sampling Based on Decoding Steps for Neural Machine Translation


Aug 31, 2021
Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou

Figure 1 for Scheduled Sampling Based on Decoding Steps for Neural Machine Translation
Figure 2 for Scheduled Sampling Based on Decoding Steps for Neural Machine Translation
Figure 3 for Scheduled Sampling Based on Decoding Steps for Neural Machine Translation
Figure 4 for Scheduled Sampling Based on Decoding Steps for Neural Machine Translation
* Code is at https://github.com/Adaxry/ss_on_decoding_steps. To appear in EMNLP-2021 main conference. arXiv admin note: text overlap with arXiv:2107.10427 
  Access Paper or Ask Questions

WeChat Neural Machine Translation Systems for WMT21


Aug 05, 2021
Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou

Figure 1 for WeChat Neural Machine Translation Systems for WMT21
Figure 2 for WeChat Neural Machine Translation Systems for WMT21
Figure 3 for WeChat Neural Machine Translation Systems for WMT21
Figure 4 for WeChat Neural Machine Translation Systems for WMT21
* Submitted to WMT 2021 as a system paper 
  Access Paper or Ask Questions

Modeling Bilingual Conversational Characteristics for Neural Chat Translation


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

Figure 1 for Modeling Bilingual Conversational Characteristics for Neural Chat Translation
Figure 2 for Modeling Bilingual Conversational Characteristics for Neural Chat Translation
Figure 3 for Modeling Bilingual Conversational Characteristics for Neural Chat Translation
Figure 4 for Modeling Bilingual Conversational Characteristics for Neural Chat Translation
* Accepted as a long paper at ACL 2021. Code and data are available at https://github.com/XL2248/CPCC 
  Access Paper or Ask Questions

Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition


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

Figure 1 for Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition
Figure 2 for Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition
Figure 3 for Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition
Figure 4 for Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition
* 9 pages, ACL21 Findings 
  Access Paper or Ask Questions

Confidence-Aware Scheduled Sampling for Neural Machine Translation


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

Figure 1 for Confidence-Aware Scheduled Sampling for Neural Machine Translation
Figure 2 for Confidence-Aware Scheduled Sampling for Neural Machine Translation
Figure 3 for Confidence-Aware Scheduled Sampling for Neural Machine Translation
Figure 4 for Confidence-Aware Scheduled Sampling for Neural Machine Translation
* Findings of ACL-2021, code at https://github.com/Adaxry/conf_aware_ss4nmt 
  Access Paper or Ask Questions

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

Figure 1 for Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue
Figure 2 for Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue
Figure 3 for Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue
Figure 4 for Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue

  Access Paper or Ask Questions

Rethinking the Evaluation of Neural Machine Translation


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

Figure 1 for Rethinking the Evaluation of Neural Machine Translation
Figure 2 for Rethinking the Evaluation of Neural Machine Translation
Figure 3 for Rethinking the Evaluation of Neural Machine Translation
Figure 4 for Rethinking the Evaluation of Neural Machine Translation
* Submitted to NeurIPS 2021 
  Access Paper or Ask Questions

Sequence-Level Training for Non-Autoregressive Neural Machine Translation


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

Figure 1 for Sequence-Level Training for Non-Autoregressive Neural Machine Translation
Figure 2 for Sequence-Level Training for Non-Autoregressive Neural Machine Translation
Figure 3 for Sequence-Level Training for Non-Autoregressive Neural Machine Translation
Figure 4 for Sequence-Level Training for Non-Autoregressive Neural Machine Translation

  Access Paper or Ask Questions

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


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

Figure 1 for Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation
Figure 2 for Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation
Figure 3 for Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation
Figure 4 for Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation
* Accepted by ACL 2021 
  Access Paper or Ask Questions

GTM: A Generative Triple-Wise Model for Conversational Question Generation


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

Figure 1 for GTM: A Generative Triple-Wise Model for Conversational Question Generation
Figure 2 for GTM: A Generative Triple-Wise Model for Conversational Question Generation
Figure 3 for GTM: A Generative Triple-Wise Model for Conversational Question Generation
Figure 4 for GTM: A Generative Triple-Wise Model for Conversational Question Generation
* To appear at ACL 2021 main conference (long paper) 
  Access Paper or Ask Questions

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

Figure 1 for Exploring Dynamic Selection of Branch Expansion Orders for Code Generation
Figure 2 for Exploring Dynamic Selection of Branch Expansion Orders for Code Generation
Figure 3 for Exploring Dynamic Selection of Branch Expansion Orders for Code Generation
Figure 4 for Exploring Dynamic Selection of Branch Expansion Orders for Code Generation
* Accepted by ACL 2021 main conference 
  Access Paper or Ask Questions

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

Figure 1 for Prevent the Language Model from being Overconfident in Neural Machine Translation
Figure 2 for Prevent the Language Model from being Overconfident in Neural Machine Translation
Figure 3 for Prevent the Language Model from being Overconfident in Neural Machine Translation
Figure 4 for Prevent the Language Model from being Overconfident in Neural Machine Translation
* Accepted as a long paper at ACL 2021. Code is available at: https://github.com/Mlair77/nmt_adequacy 
  Access Paper or Ask Questions

Selective Knowledge Distillation for Neural Machine Translation


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

Figure 1 for Selective Knowledge Distillation for Neural Machine Translation
Figure 2 for Selective Knowledge Distillation for Neural Machine Translation
Figure 3 for Selective Knowledge Distillation for Neural Machine Translation
Figure 4 for Selective Knowledge Distillation for Neural Machine Translation
* Accepted as a long paper at ACL 2021. Code is available at https://github.com/LeslieOverfitting/selective_distillation 
  Access Paper or Ask Questions

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

Figure 1 for Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
Figure 2 for Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
Figure 3 for Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
Figure 4 for Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
* Accepted by ACL-IJCNLP 2021 main conference (short paper). Code is available at: https://github.com/xydaytoy/BMI-NMT 
  Access Paper or Ask Questions

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

Figure 1 for Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation
Figure 2 for Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation
Figure 3 for Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation
Figure 4 for Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation
* Accepted at AAAI 2021, Code:https://github.com/XL2248/HGNN 
  Access Paper or Ask Questions

Multi-Unit Transformers for Neural Machine Translation


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

Figure 1 for Multi-Unit Transformers for Neural Machine Translation
Figure 2 for Multi-Unit Transformers for Neural Machine Translation
Figure 3 for Multi-Unit Transformers for Neural Machine Translation
Figure 4 for Multi-Unit Transformers for Neural Machine Translation
* Accepted as a main conference paper in EMNLP 2020 
  Access Paper or Ask Questions

Multi-Unit Transformer for Neural Machine Translation


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

Figure 1 for Multi-Unit Transformer for Neural Machine Translation
Figure 2 for Multi-Unit Transformer for Neural Machine Translation
Figure 3 for Multi-Unit Transformer for Neural Machine Translation
Figure 4 for Multi-Unit Transformer for Neural Machine Translation
* Accepted as a main conference paper in EMNLP 2020 
  Access Paper or Ask Questions

A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph


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

Figure 1 for A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph
Figure 2 for A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph
Figure 3 for A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph
Figure 4 for A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph
* Accepted as a regular paper in Findings of EMNLP 2020 
  Access Paper or Ask Questions

MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection


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

Figure 1 for MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection
Figure 2 for MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection
Figure 3 for MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection
Figure 4 for MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection

  Access Paper or Ask Questions

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

Figure 1 for Token-level Adaptive Training for Neural Machine Translation
Figure 2 for Token-level Adaptive Training for Neural Machine Translation
Figure 3 for Token-level Adaptive Training for Neural Machine Translation
Figure 4 for Token-level Adaptive Training for Neural Machine Translation
* 12 pages; Accepted by EMNLP 2020 
  Access Paper or Ask Questions