Zhou, Jie

Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation

Zhou, J., Cao, Y., Wang, X., Li, P., & Xu, W. (2016) · Transactions of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 216

Unsupervised Paraphrasing by Simulated Annealing

Liu, X., Mou, L., Meng, F., Zhou, H., Zhou, J., & Song, S. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 75

MoEfication: Transformer Feed-forward Layers are Mixtures of Experts

Zhang, Z., Lin, Y., Liu, Z., Li, P., Sun, M., & Zhou, J. (2022) · Findings of the Association for Computational Linguistics: ACL 2022

Advanced Neural Network ApplicationsTopic Modeling

Cited by 48

On Prompt-Driven Safeguarding for Large Language Models

Zheng, C., Yin, F., Zhou, H., Meng, F., Zhou, J., Chang, K.-W., Huang, M., & Peng, N. (2024) · arXiv

Adversarial Robustness in Machine LearningHate Speech and Cyberbullying Detection

Cited by 46

Improving Translation Faithfulness of Large Language Models via Augmenting Instructions

Chen, Y., Liu, Y., Meng, F., Chen, Y., Xu, J., & Zhou, J. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 8