Jie Zhu

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 Qwen 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 Models
• Natural Language Processing (various tasks)
• Financial AI & financial text understanding

Work Experience

• LLM Algorithm Expert

  Alibaba Cloud – Qwen Dianjin (通义点金)

  Hangzhou, China · Jul. 2021 – Present

  Working on large language models and financial AI applications in the Qwen Dianjin Team.

• NLP Researcher (Intern)

  NetEase Fuxi AI Lab (网易伏羲实验室)

  Hangzhou, China · Jun. 2020 – Sep. 2020

  Researched controllable text generation for knowledge-enhanced multi-turn dialogue, improving diversity, factual consistency, and controllability of GPT-style conversational models via external knowledge injection.

• NLP Algorithm Engineer (Intern)

  Alibaba DAMO Academy (达摩院)

  Hangzhou, China · Nov. 2019 – Mar. 2020

  Worked on machine translation intervention and word alignment for Transformer models.

Recent Publications

Full list is available on Google Scholar.

• AAAI 2026   Jie Zhu, Huaixia Dou, Junhui Li, Lifan Guo, Feng Chen, Chi Zhang, Fang Kong. Evaluating, Synthesizing, and Enhancing for Customer Support Conversation. In Proc. of AAAI 2026.
• ICASSP 2026   Jie Zhu, Yimin Tian, Boyang Li, et al. FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol. In Proc. of ICASSP 2026.
• ICASSP 2026   Jie Zhu, Yuanchen Zhou, Shuo Jiang, Junhui Li, Lifan Guo, Feng Chen, Chi Zhang, Fang Kong. CARE: Cognitive-reasoning Augmented Reinforcement for Emotional Support Conversation. In Proc. of ICASSP 2026.
• ACL 2025   Jie Zhu, Junhui Li, Yalong Wen, Junhui Li, Lifan Guo, Feng Chen. M³FinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial Meeting Understanding Evaluation Dataset. In Proc. of ACL 2025.
• arXiv   Jie Zhu, Qian Chen, Huaixia Dou, Junhui Li, Lifan Guo, Feng Chen, Chi Zhang. Dianjin-r1: Evaluating and enhancing financial reasoning in large language models. arXiv preprint arXiv:2504.15716, 2025.
• arXiv   Yuanchen Zhou, Shuo Jiang, Jie Zhu, Junhui Li, Lifan Guo, Feng Chen, Chi Zhang. Fin-prm: A domain-specialized process reward model for financial reasoning in large language models. arXiv preprint arXiv:2508.15202, 2025.
• arXiv   Huaixia Dou, Xinyu Tian, Xin Lyu, Jie Zhu, Junhui Li, Lifan Guo. Speech translation refinement using large language models. arXiv preprint arXiv:2501.15090, 2025.
• ACL 2024   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.
• Competition 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。
• Journal   Jie Zhu, Suwen Liu, Junhui Li, Lifan Guo, Haifeng Zeng, Feng Chen. Interpretable Sentiment Analysis Based on UIE. Journal of Chinese Information Processing, 2023, 37(11): 151-157.
• Competition 第四届语言与智能技术竞赛 (LIC 2022), 情感可解释评测, 第一名。
• Competition 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。
• CCL 2020   Jie Zhu, Junhui Li. AMR-to-Text Generation with Target Syntax. In Proc. of CCL 2020.
• Journal   Jie Zhu, Junhui Li. AMR-to-Text Generation based on Transformer. Journal of Chinese Information Processing, 34(10): 10-18, 2020.
• EMNLP 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.