1. Educational Background (in reverse chronological order)：

• 2018-2022 University of Padua, Ph.D. on Information Engineering (Information Science and Technology), 2022
  2014-2017 Tianjin University, M.Eng. on Pattern Recognition and Intelligent Systems
  2010-2014  Hubei University of Automotive Technology , B.Eng. on Software Engineering

 

2. Work Experience (in reverse chronological order)：

• 2025-present, assistant professor, Shenzhen Loop Area Institute
• 2022-present, assistant professor, the Chinese university of Hong Kong, Shenzhen
• 2017-2018, Full-time Associate Researcher, Tencent

多模态大模型（语音、视频等）, 多语言大模型，大模型数学推理，Human-agent interaction，语言智能和交互，智能体及其应用，Efficient LLMs 1.Core Research Interests: Multimodal large language models (speech, video, etc.), multilingual large language models, mathematical reasoning in LLMs, human–agent interaction, agents and their applications, and efficient LLMs.
2.Interdisciplinary Research Fields: AI + healthcare; AI + operations research/optimization; AI + education; financial/legal AI.

https://wabyking.github.io/old.html

benyouwang@slai.edu.cn

Benyou Wang is an Assistant Professor at Shenzhen Loop Area Institute and also an Assistant Professor, PhD supervisor, and Presidential Young Professor at the School of Data Science, The Chinese University of Hong Kong, Shenzhen. His research interests include multimodal large foundation models, mathematical reasoning with large models, applications of large language models (in healthcare), and human–agent interaction. He has received five best paper awards (or equivalents) from leading conferences and workshops in information retrieval, natural language processing, and machine learning, including the SIGIR 2017 Best Paper Award (Honorable Mention), the NAACL 2019 Best Explainable NLP Paper Award, the NLPCC 2022 Best Paper Award, the Best Paper Award at the ICLR 2025 Financial AI Workshop, and the NeurIPS 2025 ResponsibleFM Outstanding Paper Award. His work has been published in venues such as Operations Research and top conferences/journals including NeurIPS/ICLR/ICML/COLM and ACL/EMNLP/NAACL. He has also received Huawei Spark Award, the Tencent Rhino-Bird Program, the Huawei AI Hundred Schools Program, and the CCF Didi Gaia Scholars Program.

He led the development of the HuatuoGPT family of large language models, which has been deployed in dozens of public hospitals in Shenzhen and Jiangxi as well as hundreds of community health centers; the models have surpassed one million downloads in HuggingFace and earned over ten thousand GitHub stars. He also developed the Apollo medical LLM series, covering 50 languages worldwide with the goal of benefiting the global population of 7 billion. He led his team to win a gold medal in the 2nd AI Mathematical Olympiad (AIMO 2), and co-released ORLM, the first large model for operations research and optimization, with Cardinal Operations. In collaboration with KAUST, he developed what was then considered the world’s best open-source Arabic large language model. His work has been featured and reported by outlets and organizations including Nature, CCTV, the Financial Times, Global Times, Hongxing News, Southern Metropolis Daily, Shenzhen TV, the Shenzhen Municipal Health Commission, and the Longgang District Government of Shenzhen.

Yuzhe YANG, Yifei Zhang, Minghao Wu, Kaidi Zhang, Yunmiao Zhang, Honghai Yu, Yan Hu, Benyou Wang. TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets. NeurIPS 2025, Best Paper in ICLR 2025 Financial AI Workshop.

Wanlong Liu, Junxiao Xu, Fei Yu, Yukang Lin, Ke Ji, Wenyu Chen, Lifeng Shang, Yasheng Wang, Yan Xu, Benyou Wang. Question-Free Fine-Tuning: Towards Efficient and Adaptive Reasoning in Large Language Models. NeurIPS 2025 (Spotlight).

Xu Wang, Yan Hu, Benyou Wang, Difan Zou. Does Higher Interpretability Imply Better Utility? A Pairwise Analysis on Sparse Autoencoders. Outstanding Paper Award in NeurIPS 2025 ResponsibleFM Workshop.

Wanlong Liu, Junying Chen, Ke Ji, Li Zhou, Wenyu Chen, Benyou Wang. RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions. EMNLP 2025 (Oral).

Jianqing Zhu, Huang Huang, Zhihang Lin, Juhao Liang, Zhengyang Tang, Khalid Almubarak, Mosen Alharthi, Bang An, Juncai He, Xiangbo Wu, Fei Yu, Junying Chen, MA Zhuoheng, Yuhao Du, He Zhang, Saied Alshahrani, Emad A. Alghamdi, Lian Zhang, Ruoyu Sun, Haizhou Li, Benyou Wang*, Jinchao Xu. Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion. ACL 2025.

Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Chenghao Ma, Shanghaoran Quan, Liang Chen, Qingxiu Dong, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Ge Zhang, Lei Li, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang. Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models. ICLR 2025

Chenyu Huang, Zhengyang Tang, Shixi Hu, Ruoqing Jiang, Xin Zheng, Dongdong Ge, Benyou Wang*, Zizhuo Wang*. ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling. Operations Research

Juhao Liang , Zhenyang Cai , Jianqing Zhu, Huang Huang, Kewei Zong, Bang An, Mosen Alharthi, Juncai He, Lian Zhang, Haizhou Li, Benyou Wang*, Jinchao Xu. Alignment at Pre-training! Towards Native Alignment for Arabic LLMs. NeurIPS 2024

Huang Huang, Fei Yu, Jianqing Zhu, Xuening Sun, Hao Cheng, Dingjie Song, Zhihong Chen, Abdulmohsen Alharthi, Bang An, Juncai He, Ziche Liu, Zhiyi Zhang, Junying Chen, Jianquan Li, Benyou Wang*, Lian Zhang, Ruoyu Sun, Xiang Wan, Haizhou Li, Jinchao Xu. AceGPT, Localizing Large Language Models in Arabic. NAACL 2024

Junying Chen , Chi Gui , Ruyi Ouyang , Anningzhe Gao, Shunian Chen , Guiming Hardy Chen , Xidong Wang , Ruifei Zhang , Zhenyang Cai , Ke Ji, Guangjun Yu, Xiang Wan, Benyou Wang. HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale. EMNLP 2024

Xianghong Fang, Jian Li, Qiang Sun, Benyou Wang. Rethinking the Uniformity Metric in Self-Supervised Learning. ICLR 2024

Zhihong Chen, Shizhe Diao, Benyou Wang*, Guanbin Li*, and Xiang Wan. "Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts". ICCV 2023

Jianquan Li, Xiangbo Wu , Xiaokang Liu , Prayag Tiwari, Qianqian Xie, and Benyou Wang. "Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk". ACL 2023

Hongbo Zhang, Junying Chen, Feng Jiang, Fei Yu, Zhihong Chen, Jianquan Li, Guiming Chen, Xiangbo Wu, Zhiyi Zhang, Qingying Xiao, Xiang Wan, Benyou Wang*, Haizhou Li. HuatuoGPT, towards Taming Language Model to Be a Doctor. 2023. Findings of EMNLP 2023

Yi Yang, Chen Zhang, Benyou Wang and Dawei Song. "Doge Tickets: Uncovering Domain-general Language Models by Playing Lottery Tickets". NLPCC 2022 Best Paper 2022

Benyou Wang, Yuxin Ren, Lifeng Shang, Xin Jiang, Qun Liu. "Exploring extreme parameter compression for pre-trained language models". ICLR 2022,

Benyou Wang, Emanuele Di Buiccio, Massimo Melucci. Word2fun, modeling words as functions for dynamic word embeddings. NeurIPS 2021

Benyou Wang, Lifeng Shang, Christina Lioma, Xin Jiang, Qun Liu, Jakob Grue Simonsen. On position embeddings in BERT. ICLR 2021

Benyou Wang*, Donghao Zhao*, Christina Lioma, Qiuchi Li, Peng Zhang, Jakob Grue Simonsen. Encoding word order in complex embeddings. ICLR 2020, Spotlight paper

Qiuchi Li*, Benyou Wang*, Massimo Melucci. A Complex-valued Network for Matching. NAACL 2019, Best Explainable NLP Paper

Wang Jun, Yu Lantao, Zhang Weinan, Gong Yu, Xu Yinghui, Wang Benyou , Zhang Peng, Zhang Dell. IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. SIGIR 2017. Best Paper Award Honourable Mentions