1. Guangsheng Bao, Zhiyang Teng, and Yue Zhang. 2023. Target-Side Augmentation for Document-Level Machine Translation. In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL).

2. Linyi Yang, Yingpeng Ma and Yue Zhang. 2023. Measuring Consistency in Text-based Financial Forecasting Models. In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL).

3. Xuefeng Bai, Yulong Chen and Yue Zhang. 2022. Graph Pre-training for AMR Parsing and Generation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL).

4. Leyang Cui, Sen Yang and Yue Zhang. 2022. Investigating Non-local Features for Neural Constituency Parsing. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL).

5. Cunxiang Wang, Pai Liu and Yue Zhang. 2021. Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA? In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL).

6. Yafu Li, Yongjing Yin, Yulong Chen and Yue Zhang. 2021. On Compositional Generalization of Neural Machine Translation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL).

7. Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O’Donnell, Yoshua Bengio and Yue Zhang. 2020. Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL).

8. Chen Jia, Xiaobo Liang, Yue Zhang. 2019. Cross-Domain NER using Cross-Domain Language Modeling. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL).