教育经历：

• 2018-2022 意大利帕多瓦大学 信息科学与技术 博士学位（全日制）
• 2014-2017 天津大学 模式识别与智能系统 硕士学位（全日制）
• 2010-2014 湖北汽车工业学院学士 软件工程 本科学位（全日制）

工作经验（按时间倒序）：

• 2025年至今，深圳环路研究所助理教授
• 2022年至今，深圳香港中文大学助理教授
• 2017-2018，全职副研究员，腾讯

深圳河套学院助理教授，同时还是香港中文大学（深圳）数据科学学院助理教授、博士生导师、校长青年教授。研究方向为多模态大模型、大模型数学推理、大语言模型应用（医疗）和Human-agent interaction，曾五次获得信息检索、自然语言处理和机器学习会议以及研讨会的最佳论文，包括SIGIR 2017 Best Paper Award Honorable Mention, NAACL 2019 Best Explainable NLP Paper，NLPCC 2022 Best Paper, Best Paper in ICLR 2025 Financial AI workshop和NeurIPS 2025 ResponsibleFM Outstanding Paper Paper，相关论文发表在Operations Research、NeurIPS/ICLR/ICML/COLM、ACL/EMNLP/NAACL等会议和期刊，担任ARR的Senior Area Chair。他还获得了华为火花奖、腾讯犀牛鸟项目、华为AI百校计划和CCF滴滴盖亚学者项目的资助。开发的华佗GPT系列大模型被部署到了深圳和江西数十家公立医院和数百家社康医院，模型的下载量超过百万，GitHub的收藏星标过万；开发的Apollo医疗大模型系列覆盖全球五十种语言，致力于惠及全球70亿人口；带领团队获得第二届AI奥林匹克数学竞赛AIMO 2的金牌；联合杉树科技发布了首个运筹优化大模型ORLM；联合KAUST开发了当时世界上最好的开源阿拉伯语大模型，使用近三千张华为昇腾910A芯片。相关工作受到了Nature、CCTV、金融时报（Financial Times）、环球时报、红星新闻、南方都市报、深圳卫视、深圳市卫健委、深圳市龙岗区政府的关注和报道。

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