Yijin Liu

According to our database, Yijin Liu authored at least 21 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Improving Translation Faithfulness of Large Language Models via Augmenting Instructions.

Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou

CoRR, 2023

Instruction Position Matters in Sequence Generation with Large Language Models.

Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou

CoRR, 2023

Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in NLG Evaluation.

Xianfeng Zeng, Yijin Liu, Fandong Meng, Jie Zhou

CoRR, 2023

BranchNorm: Robustly Scaling Extremely Deep Transformers.

Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou

CoRR, 2023

Subspace Modeling Enabled High-Sensitivity X-Ray Chemical Imaging.

Jizhou Li, Bin Chen, Guibin Zan, Guannan Qian, Piero Pianetta, Yijin Liu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Towards Robust Online Dialogue Response Generation.

Leyang Cui, Fandong Meng, Yijin Liu, Jie Zhou, Yue Zhang

CoRR, 2022

Subspace modeling for fast and high-sensitivity X-ray chemical imaging.

Jizhou Li, Bin Chen, Guibin Zan, Guannan Qian, Piero Pianetta, Yijin Liu

CoRR, 2022

Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation.

Songming Zhang, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jian Liu, Jie Zhou

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Hyperspectral Image Spectral-Spatial Classification Method Based on Deep Adaptive Feature Fusion.

Caihong Mu, Yijin Liu, Yi Liu

Remote. Sens., 2021

WeChat Neural Machine Translation Systems for WMT21.

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

Proceedings of the Sixth Conference on Machine Translation, 2021

Scheduled Sampling Based on Decoding Steps for Neural Machine Translation.

Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation.

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Prevent the Language Model from being Overconfident in Neural Machine Translation.

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Confidence-Aware Scheduled Sampling for Neural Machine Translation.

Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Faster Depth-Adaptive Transformers.

Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Explicitly Modeling Adaptive Depths for Transformer.

Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu

CoRR, 2020

Depth-Adaptive Graph Recurrent Network for Text Classification.

Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou

CoRR, 2020

Hyperspectral Image Classification Based on Active Learning and Spectral-Spatial Feature Fusion Using Spatial Coordinates.

Caihong Mu, Jian Liu, Yi Liu, Yijin Liu

IEEE Access, 2020

WeChat Neural Machine Translation Systems for WMT20.

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

Proceedings of the Fifth Conference on Machine Translation, 2020

2019

CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding.

Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling.

Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019