Publications

Conference Papers

  1. Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo. “Think: Thinner key cache by query-driven pruning”, In Arixv 2024. [code]

  2. Haoran Li, Zhanming Jie, Wei Lu, “Non-Autoregressive Machine Translation as Constrained HMM”, In Findings of ACL, 2024.

  3. Trung Quoc Luong*, Xinbo Zhang*, Zhanming Jie*, Peng Sun, Xiaoran Jin, and Hang Li. “ReFT: Reasoning with Reinforced Fine-Tuning” In ACL, 2024. (* Equal Contributions) [code]

  4. Zhanming Jie*, Trung Quoc Luong*, Xinbo Zhang*, Xiaoran Jin, and Hang Li. “Design of Chain-of-Thought in Math Problem Solving” In Arxiv Preprint, 2023. (* Equal Contributions) [code]

  5. Zhanming Jie and Wei Lu. “Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning” In Findings of ACL, 2023. [code]

  6. Shuwei Feng, Tianyang Zhan, Zhanming Jie, Trung Quoc Luong, Xiaoran Jin. “Sequence-to-Sequence Pre-training with Unified Modality Masking for Visual Document Understanding” In Arxiv. 2023.

  7. Zhanming Jie, Jierui Li, and Wei Lu. “Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction.” In Proceedings of ACL, 2022. [code]

  8. Yuxiang Zhou, Lejian Liao, Yang Gao, Zhanming Jie and Wei Lu. “To be Closer: Learning toLink up Aspect with Opinions.” In Proceedings of EMNLP, 2021. [code]

  9. Lu Xu, Zhanming Jie, Wei Lu and Lidong Bing. “Better Feature Integration for Named Entity Recognition” In Proceedings of NAACL, 2021. [code]

  10. Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si. “ENT-DESC: Entity Description Generation by Exploring Knowledge Graph” In Proceedings of EMNLP, 2020. [code] [Slides]

  11. Xuefeng Yang, Benhong Wu, Zhanming Jie, Yunfeng Liu. “Overview of the NLPCC 2020 Shared Task: AutoIE” In Proceedings of NLPCC, 2020

  12. Zhanming Jie and Wei Lu. “Dependency-guided LSTM-CRF for Named Entity Recognition “ In Proceedings of EMNLP, 2019. [code] [Slides]

  13. Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding and Linlin Li. “Better Modeling of Incomplete Annotations for Named Entity Recognition “ In Proceedings of NAACL, 2019. [code] [Slides]

  14. Zhanming Jie and Wei Lu. “Dependency-based Hybrid Trees for Semantic Parsing “ In Proceedings of EMNLP, 2018. [code] [Slides]

  15. Zhanming Jie, Aldrian Obaja Muis and Wei Lu. “Efficient Dependency-Guided Named Entity Recognition “ In Proceedings of AAAI, 2017. [code] [Slides]

  16. Zhanming Jie Ming Cheung, and James She. “A Cloud-Assisted Framework for Bag-of-Features Tagging in Social Networks “ In Proceedings of IEEE Fourth Symposium on Network Cloud Computing and Applications, 2015

  17. Alvin Junus, Ming Cheung, James She, and Zhanming Jie. “Community-Aware Prediction of Virality Timing Using Big Data of Social Cascades “ In Proceedings of IEEE First International Conference on Big Data Computing Service and Applications, 2015

  18. Zhanming Jie and Wei Lu. “Multilingual Semantic Parsing: Parsing Multiple Languages into Semantic Representations “ In Proceedings of COLING, 2014.

Journal Papers

  1. Chu Guo, Zhanming Jie, Wei Lu and Dario Poletti. “Matrix Product Operators for Sequence to Sequence Learning.” In Physical Review E. 2018

  2. Ming Cheung, James She, and Zhanming Jie. “Connection Discovery Using Big Data of User-Shared Images in Social Media. “ In IEEE Transactions on Multimedia 17.9 (2015): 1417-1428.