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Duplex Sequence-to-Sequence Learning for Reversible Machine Translation. NeurIPS 2021.
Zaixiang Zheng, Hao Zhou, Shujian Huang, Jiajun Chen, Jingjing Xu, Lei Li
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation. NeurIPS 2021.
Vocabulary Learning via Optimal Transport for Neural Machine Translation. ACL 2021 (Best Paper).
Jingjing Xu, Hao Zhou, Chun Gan, Zaixiang Zheng, Lei Li
Vocabulary Learning via Optimal Transport for Neural Machine Translation. ACL 2021 (Best Paper).
A Survey on Green Deep Learning. Arxiv 2021.
Jingjing Xu, Wangchunshu Zhou, Zhiyi Fu, Hao Zhou, Lei Li
A Survey on Green Deep Learning. Arxiv 2021.
KNAS: Green Neural Architecture Search. ICML 2021.
Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang
KNAS: Green Neural Architecture Search. ICML 2021.
Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction. IJCAI 2020.
Wei Li, Ruihan Bao, Keiko Harimoto, Deli Chen, Jingjing Xu, Qi Su
Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction. IJCAI 2020.
MTG: A Benchmarking Suite for Multilingual Text Generation. Arxiv 2021.
Yiran Chen, Zhenqiao Song, Xianze Wu, Danqing Wang, Jingjing Xu, Jiaze Chen, Hao Zhou, Lei Li
MTG: A Benchmarking Suite for Multilingual Text Generation. Arxiv 2021.
Graph-based Multi-hop Reasoning for Long Text Generation. Arxiv 2020.
Liang Zhao, Jingjing Xu, Junyang Lin, Yichang Zhang, Hongxia Yang, Xu Sun
Graph-based Multi-hop Reasoning for Long Text Generation. Arxiv 2020.
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. AAAI 2020.
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Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. AAAI 2020.
Understanding and Improving Layer Normalization. NeurIPS 2019.
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Understanding and Improving Layer Normalization. NeurIPS 2019.
Asking Clarification Questions in Knowledge-Based Question Answering. EMNLP 2019.
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Asking Clarification Questions in Knowledge-Based Question Answering. EMNLP 2019.