Wangchunshu Zhou

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 94

Top Topics

Domain Expertise

Natural Language

Regularization Method

Top Venues

EMNLP (Findings)

Publications

Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. ACL (Findings) (2024)
Tiannan Wang, Jiamin Chen, Qingrui Jia, Shuai Wang, Ruoyu Fang, Huilin Wang, Zhaowei Gao, Chunzhao Xie, Chuou Xu, Jihong Dai, Yibin Liu, Jialong Wu, Shengwei Ding, Long Li, Zhiwei Huang, Xinle Deng, Teng Yu, Gangan Ma, Han Xiao, Zixin Chen, Danjun Xiang, Yunxia Wang, Yuanyuan Zhu, Yi Xiao, Jing Wang, Yiru Wang, Siran Ding, Jiayang Huang, Jiayi Xu, Yilihamu Tayier, Zhenyu Hu, Yuan Gao, Chengfeng Zheng, Yueshu Ye, Yihang Li, Lei Wan, Xinyue Jiang, Yujie Wang, Siyu Cheng, Zhule Song, Xiangru Tang, Xiaohua Xu, Ningyu Zhang, Huajun Chen, Yuchen Eleanor Jiang, Wangchunshu Zhou
Weaver: Foundation Models for Creative Writing. CoRR (2024)
Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Zekun Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Stephen W. Huang, Chenghua Lin, Wenhu Chen, Jie Fu
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. CoRR (2024)
Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan, Yichi Zhang, Wangchunshu Zhou, Meng Qu, Yilun Zhao, Jian Tang, Zhuosheng Zhang, Arman Cohan, Zhiyong Lu, Mark Gerstein
Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science. CoRR (2024)
Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, Chengfei Lv, Huajun Chen
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning. ACL (1) (2024)
Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, Chengfei Lv, Huajun Chen
AUTOACT: Automatic Agent Learning from Scratch via Self-Planning. CoRR (2024)
Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, Yang You
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models. CoRR (2024)
Chunyuan Deng, Xiangru Tang, Yilun Zhao, Hanming Wang, Haoran Wang, Wangchunshu Zhou, Arman Cohan, Mark Gerstein
MIMIR: A Streamlined Platform for Personalized Agent Tuning in Domain Expertise. CoRR (2024)
Noah Wang, Z. y. Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Jian Yang, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhao Huang, Jie Fu, Junran Peng
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. ACL (Findings) (2024)
Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models. LREC/COLING (2024)
Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Noah Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Wenhao Huang, Chenghua Lin, Jie Fu
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. ACL (Findings) (2024)
Yan Zeng, Xinsong Zhang, Hang Li, Jiawei Wang, Jipeng Zhang, Wangchunshu Zhou
X$^{2}$2-VLM: All-in-One Pre-Trained Model for Vision-Language Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Ge Zhang, Scott Qu, Jiaheng Liu, Chenchen Zhang, Chenghua Lin, Chou Leuang Yu, Danny Pan, Esther Cheng, Jie Liu, Qunshu Lin, Raven Yuan, Tuney Zheng, Wei Pang, Xinrun Du, Yiming Liang, Yinghao Ma, Yizhi Li, Ziyang Ma, Bill Y. Lin, Emmanouil Benetos, Huan Yang, Junting Zhou, Kaijing Ma, Minghao Liu, Morry Niu, Noah Wang, Quehry Que, Ruibo Liu, Sine Liu, Shawn Guo, Soren Gao, Wangchunshu Zhou, Xinyue Zhang, Yizhi Zhou, Yubo Wang, Yuelin Bai, Yuhan Zhang, Yuxiang Zhang, Zenith Wang, Zhenzhu Yang, Zijian Zhao, Jiajun Zhang, Wanli Ouyang, Wenhao Huang, Wenhu Chen
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series. CoRR (2024)
Wangchunshu Zhou, Yixin Ou, Shengwei Ding, Long Li, Jialong Wu, Tiannan Wang, Jiamin Chen, Shuai Wang, Xiaohua Xu, Ningyu Zhang, Huajun Chen, Yuchen Eleanor Jiang
Symbolic Learning Enables Self-Evolving Agents. CoRR (2024)
Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. CoRR (2024)
Shizhe Diao, Yongyu Lei, Liangming Pan, Tianqing Fang, Wangchunshu Zhou, Sedrick Scott Keh, Min-Yen Kan, Tong Zhang
Doolittle: Benchmarks and Corpora for Academic Writing Formalization. EMNLP (2023)
Wangchunshu Zhou, Ronan Le Bras, Yejin Choi
Commonsense Knowledge Transfer for Pre-trained Language Models. CoRR (2023)
Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan
Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. EMNLP (2023)
Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan
Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. CoRR (2023)
Wangchunshu Zhou, Qifei Li, Chenle Li
Learning to Predict Persona Information for Dialogue Personalization without Explicit Persona Description. ACL (Findings) (2023)
Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs. CoRR (2023)
Zekun Moore Wang, Zhongyuan Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhu Chen, Jie Fu, Junran Peng
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. CoRR (2023)
Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, Qian Hu, Rahul Gupta, John Frederick Wieting, Nanyun Peng, Xuezhe Ma
Evaluating Large Language Models on Controlled Generation Tasks. CoRR (2023)
Wangchunshu Zhou, Ronan Le Bras, Yejin Choi
Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference. ACL (Findings) (2023)
Kirill Semenov, Vilém Zouhar, Tom Kocmi, Dongdong Zhang, Wangchunshu Zhou, Yuchen Eleanor Jiang
Findings of the WMT 2023 Shared Task on Machine Translation with Terminologies. WMT (2023)
Wangchunshu Zhou, Yuchen Eleanor Jiang, Peng Cui, Tiannan Wang, Zhenxin Xiao, Yifan Hou, Ryan Cotterell, Mrinmaya Sachan
RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text. CoRR (2023)
Ying Jiao, Kumar Shridhar, Peng Cui, Wangchunshu Zhou, Mrinmaya Sachan
Automatic Educational Question Generation with Difficulty Level Controls. AIED (2023)
Wangchunshu Zhou, Ronan Le Bras, Yejin Choi
Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference. CoRR (2023)
Wangchunshu Zhou, Ronan Le Bras, Yejin Choi
Commonsense Knowledge Transfer for Pre-trained Language Models. ACL (Findings) (2023)
Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan, Mark Gerstein
Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data? CoRR (2023)
Yan Zeng, Wangchunshu Zhou, Ao Luo, Ziming Cheng, Xinsong Zhang
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training. ACL (1) (2023)
Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. EACL (2023)
Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Ming Liu, Bing Qin
SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models. CoRR (2023)
Ruida Wang, Wangchunshu Zhou, Mrinmaya Sachan
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models. CoRR (2023)
Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan
Controlled Text Generation with Natural Language Instructions. CoRR (2023)
Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. CoRR (2023)
Wangchunshu Zhou, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan
Efficient Prompting via Dynamic In-Context Learning. CoRR (2023)
Fuzhao Xue, Yao Fu, Wangchunshu Zhou, Zangwei Zheng, Yang You
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis. CoRR (2023)
Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan
Controlled Text Generation with Natural Language Instructions. ICML (2023)
Tiannan Wang, Wangchunshu Zhou, Yan Zeng, Xinsong Zhang
EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning. ACL (Findings) (2023)
Yuliang Liu, Xiangru Tang, Zefan Cai, Junjie Lu, Yichi Zhang, Yanjun Shao, Zexuan Deng, Helan Hu, Zengxian Yang, Kaikai An, Ruijun Huang, Shuzheng Si, Sheng Chen, Haozhe Zhao, Zhengliang Li, Liang Chen, Yiming Zong, Yan Wang, Tianyu Liu, Zhiwei Jiang, Baobao Chang, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Arman Cohan, Mark Gerstein
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks. CoRR (2023)
Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan
Agents: An Open-source Framework for Autonomous Language Agents. CoRR (2023)
Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, Qian Hu, Rahul Gupta, John Frederick Wieting, Nanyun Peng, Xuezhe Ma
Evaluating Large Language Models on Controlled Generation Tasks. EMNLP (2023)
Siyu Lu, Zheng Liu, Tianlin Liu, Wangchunshu Zhou
Scaling-up medical vision-and-language representation learning with federated learning. Eng. Appl. Artif. Intell. 126 (Part D) (2023)
Shizhe Diao, Wangchunshu Zhou, Xinsong Zhang, Jiawei Wang
Write and Paint: Generative Vision-Language Models are Unified Modal Learners. ICLR (2023)
Yilei Wu, Zijian Dong, Chongyao Chen, Wangchunshu Zhou, Juan Helen Zhou
Mixup Your Own Pairs. CoRR (2023)
Zekun Wang, Ge Zhang, Kexin Yang, Ning Shi, Wangchunshu Zhou, Shaochun Hao, Guangzheng Xiong, Yizhi Li, Mong Yuan Sim, Xiuying Chen, Qingqing Zhu, Zhenzhu Yang, Adam Nik, Qi Liu, Chenghua Lin, Shi Wang, Ruibo Liu, Wenhu Chen, Ke Xu, Dayiheng Liu, Yike Guo, Jie Fu
Interactive Natural Language Processing. CoRR (2023)
Fuzhao Xue, Yao Fu, Wangchunshu Zhou, Zangwei Zheng, Yang You
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis. NeurIPS (2023)
Ruida Wang, Wangchunshu Zhou, Mrinmaya Sachan
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models. EMNLP (Findings) (2023)
Wangchunshu Zhou, Yan Zeng, Shizhe Diao, Xinsong Zhang
VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training. ICML (2022)
Wangchunshu Zhou, Canwen Xu, Julian J. McAuley
Efficiently Tuned Parameters are Task Embeddings. CoRR (2022)
Yan Zeng, Wangchunshu Zhou, Ao Luo, Xinsong Zhang
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training. CoRR (2022)
Shizhe Diao, Wangchunshu Zhou, Xinsong Zhang, Jiawei Wang
Prefix Language Models are Unified Modal Learners. CoRR (2022)
Zhiyi Fu, Wangchunshu Zhou, Jingjing Xu, Hao Zhou, Lei Li
Contextual Representation Learning beyond Masked Language Modeling. ACL (1) (2022)
Zhiyi Fu, Wangchunshu Zhou, Jingjing Xu, Hao Zhou, Lei Li
Contextual Representation Learning beyond Masked Language Modeling. CoRR (2022)
Wangchunshu Zhou, Canwen Xu, Julian J. McAuley
Efficiently Tuned Parameters Are Task Embeddings. EMNLP (2022)
Wangchunshu Zhou, Yan Zeng, Shizhe Diao, Xinsong Zhang
VLUE: A Multi-Task Benchmark for Evaluating Vision-Language Models. CoRR (2022)
Yan Zeng, Xinsong Zhang, Hang Li, Jiawei Wang, Jipeng Zhang, Wangchunshu Zhou
-VLM: All-In-One Pre-trained Model For Vision-Language Tasks. CoRR (2022)
Wangchunshu Zhou, Canwen Xu, Julian J. McAuley
BERT Learns to Teach: Knowledge Distillation with Meta Learning. ACL (1) (2022)
Tiannan Wang, Wangchunshu Zhou, Yan Zeng, Xinsong Zhang
EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning. CoRR (2022)
Wangchunshu Zhou, Tao Ge, Canwen Xu, Ke Xu, Furu Wei
Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting. EMNLP (1) (2021)
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression. CoRR (2021)
Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam, Seyeon Lee, Xiang Ren
Pre-training Text-to-Text Transformers for Concept-centric Common Sense. ICLR (2021)
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression. EMNLP (1) (2021)
Wangchunshu Zhou, Qifei Li, Chenle Li
Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training. ACL/IJCNLP (1) (2021)
Wangchunshu Zhou, Qifei Li, Chenle Li
Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training. CoRR (2021)
Wangchunshu Zhou, Qifei Li, Chenle Li
Learning to Predict Persona Information forDialogue Personalization without Explicit Persona Description. CoRR (2021)
Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei
Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting. CoRR (2021)
Jingjing Xu, Wangchunshu Zhou, Zhiyi Fu, Hao Zhou, Lei Li
A Survey on Green Deep Learning. CoRR (2021)
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge. NAACL-HLT (2021)
Wangchunshu Zhou, Canwen Xu, Julian J. McAuley
Meta Learning for Knowledge Distillation. CoRR (2021)
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge. CoRR (2021)
Bill Yuchen Lin, Ming Shen, Wangchunshu Zhou, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. AKBC (2020)
Qifei Li, Wangchunshu Zhou
Connecting the Dots Between Fact Verification and Fake News Detection. COLING (2020)
Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou
Scheduled DropHead: A Regularization Method for Transformer Models. CoRR (2020)
Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian J. McAuley, Ke Xu, Furu Wei
BERT Loses Patience: Fast and Robust Inference with Early Exit. CoRR (2020)
Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou
Self-Adversarial Learning with Comparative Discrimination for Text Generation. CoRR (2020)
Wangchunshu Zhou, Tao Ge, Ke Xu
Pseudo-Bidirectional Decoding for Local Sequence Transduction. CoRR (2020)
Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing. EMNLP (1) (2020)
Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou
Self-Adversarial Learning with Comparative Discrimination for Text Generation. ICLR (2020)
Wangchunshu Zhou, Ke Xu
Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models. AAAI (2020)
Wangchunshu Zhou, Ke Xu
Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models. CoRR (2020)
Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian J. McAuley, Ke Xu, Furu Wei
BERT Loses Patience: Fast and Robust Inference with Early Exit. NeurIPS (2020)
Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing. CoRR (2020)
Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou, Ke Xu
Scheduled DropHead: A Regularization Method for Transformer Models. EMNLP (Findings) (2020)
Wangchunshu Zhou, Tao Ge, Ke Xu
Pseudo-Bidirectional Decoding for Local Sequence Transduction. EMNLP (Findings) (2020)
Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. EMNLP (Findings) (2020)
Qifei Li, Wangchunshu Zhou
Connecting the Dots Between Fact Verification and Fake News Detection. CoRR (2020)
Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam, Seyeon Lee, Bill Yuchen Lin, Xiang Ren
Pre-training Text-to-Text Transformers for Concept-centric Common Sense. CoRR (2020)
Wangchunshu Zhou, Tao Ge, Chang Mu, Ke Xu, Furu Wei, Ming Zhou
Improving Grammatical Error Correction with Machine Translation Pairs. EMNLP (Findings) (2020)
Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables. NeurIPS (2020)
Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables. CoRR (2020)
Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou
BERT-based Lexical Substitution. ACL (1) (2019)
Wangchunshu Zhou, Tao Ge, Chang Mu, Ke Xu, Furu Wei, Ming Zhou
Improving Grammatical Error Correction with Machine Translation Pairs. CoRR (2019)