Welcome to my homepage! I am Duanyu Feng (冯端宇), a PhD student at the School of Computer Science, Sichuan University, under the supervision of Prof. Wenqiang Lei.

My research delves into the theoretical foundations of deep learning and machine learning. Furthermore, I’m exploring how tools from numerical optimization and natural language processing can be used to create a more reliable and robust scientific algorithm for addressing social issues.

Specifically, my research lies in the span of the following topics:

• Data Synthesis and Data Mining
• Alignment of Large Language Models
• Applications of Large Language Models in Legal, Medical, and Financial Industries

News

Selected Awards

Selected Publications

Year 2025

Method/Theory for LLM

1. Legend: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets
   Duanyu Feng, Bowen Qin, Chen Huang, Youcheng Huang, Zheng Zhang, Wenqiang Lei
   AAAI 2025 (Long Paper, CCF-A)
   [stay tuned]

LLM for Application

1. LAiW: A Chinese Legal Large Language Models Benchmark
   Yongfu Dai, Duanyu Feng, Jimin Huang, Haochen Jia, Qianqian Xie, Yifang Zhang, Weiguang Han, Wei Tian, Hao Wang
   COLING 2025 (Long Paper, CCF-B, under my guidance)
   [stay tuned]
2. UCL-Bench: A Chinese User-Centric Legal Benchmark for Large Language Models
   Ruoli Gan*, Duanyu Feng*, Chen Zhang, Zhihang Lin, Haochen Jia, Hao Wang, Zhenyang Cai, Lei Cui, Qianqian Xie, Jimin Huang, Benyou Wang
   NAACL 2025 (Findings, Long Paper, CCF-B, cofirst authors)
   [stay tuned]

Year 2024

Method/Theory for LLM

1. Towards analyzing and understanding the limitations of dpo: A theoretical perspective
   Duanyu Feng, Bowen Qin, Chen Huang, Zheng Zhang, Wenqiang Lei.
   Preprint (Although this paper is simple and has not been officially published, I think it is the most interesting work I have done this year. )
   Paper

2. HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection
   Yuxin Wang, Duanyu Feng, Yongfu Dai, Zhengyu Chen, Jimin Huang, Sophia Ananiadou, Qianqian Xie, Hao Wang.
   NeurIPS 2024 (Long Paper, CCF-A, under my guidance)
   Paper

LLM for Application

1. Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English
   Xiao Zhang, Ruoyu Xiang, Chenhan Yuan, Duanyu Feng, Weiguang Han, Alejandro Lopez-Lira, Xiao-Yang Liu, Meikang Qiu, Sophia Ananiadou, Min Peng, Jimin Huang, Qianqian Xie.
   KDD 2024 (Long Paper, CCF-A)
   Paper

2. FinBen: An Holistic Financial Benchmark for Large Language Models
   Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, Zhiyang Deng, Yuechen Jiang, Zhiyuan Yao, Haohang Li, Yangyang Yu, Gang Hu, Jiajia Huang, Xiao-Yang Liu, Alejandro Lopez-Lira, Benyou Wang, Yanzhao Lai, Hao Wang, Min Peng, Sophia Ananiadou, Jimin Huang.
   NeurIPS 2024 (Long Paper, CCF-A)
   Paper

Professional Experience

Year 2024

1. IJCAI 2024, FinNLP-AgentScen Workshop, shared task organizer of the Financial Challenges in Large Language Models.
2. COLING 2025, The joint workshop of FinNLP, FNP, and LLMFinLegal, program committee member.

Year 2023

1. Internship
   Beijing Academy of Artificial Intelligence, Data Research Group
   work on data analysis for alignment of large language models.

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