Jie Zhu

Currently working at Alibaba Group, Tongyi Dianjin Team

zhujie951121@gmail.com

Bio

Jie Zhu received his M.S. degree from Soochow University, China, in 2021. He has been working at Alibaba Group since then as a large language model algorithm expert in the Tongyi Dianjin Team. He is currently pursuing a Ph.D., with research interests in large language models and their applications in the financial domain.

Research Interests

• Large Language Model Application
• Natural Language Processing (all kinds of tasks)

Recent Pubs (Google Scholar)

• Jie Zhu, Junhui Li, Yalong Wen, et al. M3FinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial Meeting Understanding Evaluation Dataset. In Proc. of ACL 2025.
• Jie Zhu, Junhui Li, Yalong Wen, Lifan Guo. Benchmarking Large Language Models on CFLUE - A Chinese Financial Language Understanding Evaluation Dataset. In Proc. of ACL 2024.
• 第二届中国自然语言生成与智能写作大会（NLGIW 2023）,面向事实一致性的生成评测,自动指标第一名
• Jie Zhu, Suwen Liu, et al. Interpretable Sentiment Analysis Based on UIE. Journal of Chinese Information Processing. 2023, 37(11): 151-157.
• 第四届语言与智能技术竞赛 (LIC 2022), 情感可解释评测, 第一名.
• 第九届全国社会媒体处理大会 (SMP 2020), 知识驱动的多轮对话竞赛, 二等奖.
• Jie Zhu, Junhui Li. AMR-to-Text Generation with Target Syntax. In Proc. of CCL 2020.
• Jie Zhu, Junhui Li. AMR-to-Text Generation based on Transformer. In Proc. of CCL 2019.
• Jie Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang, Guodong Zhou. Modeling Graph Structure in Transformer for Better AMR-to-Text Generation. In Proc. of EMNLP 2019.