职称：助理教授
研究方向：大模型、AIGC检测、大模型可靠推理、智能体
Email：baoguangsheng@fyust.edu.cn
鲍光胜，福耀科技大学计算与人工智能学院助理教授。浙江大学计算机科学与技术专业博士学位（西湖大学联合培养），曾任职微软（中国）、阿里巴巴，深度参与 Windows Cortana、Office365、阿里客服机器人等核心算法研发。研究聚焦安全可信大模型，包括 AIGC 溯源检测、大模型可靠推理、安全可信智能体。在 ACL、ICLR、TACL 等顶会期刊发表论文二十余篇。代表工作 Fast-DetectGPT (ICLR 2024) 获《麻省理工科技评论》报道，并商业化落地，年访问量超两千万。
2000年9月至2004年6月，合肥工业大学，计算机科学及应用，本科
2005年9月至2008年1月，中国科学技术大学，软件工程，硕士
2008年2月至2015年2月，微软（中国），亚洲工程院，软件研发工程师
2015年3月至2017年6月，阿里巴巴，数据科学研究院（现达摩院），算法专家
2019年6月至2022年8月，西湖大学，文本智能实验室，科研助理
2022年9月至2026年6月，浙江大学，计算机科学与技术， 博士
2026年7月至今，福耀科技大学，计算与人工智能学院，助理教授
[1] Guangsheng Bao, Yanbin Zhao, Juncai He, Yue Zhang. 2025. Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection. In Proceedings of The Thirteenth International Conference on Learning Representations. (ICLR 2025, CCF-A)
[2] Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, Yue Zhang. 2024. Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature. The Twelfth International Conference on Learning Representations. (ICLR 2024, CCF-A)
[3] Guangsheng Bao, Zhiyang Teng, and Yue Zhang. 2023. Target-Side Augmentation for Document-Level Machine Translation. In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics. (ACL 2023, CCF-A)
[4] Guangsheng Bao, Yue Zhang, Zhiyang Teng, Boxing Chen and Weihua Luo. 2021. G-Transformer for Document-Level Machine Translation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. (ACL 2021 Oral, CCF-A)
[5] Guangsheng Bao and Yue Zhang. 2021. Contextualized Rewriting for Text Summarization. In Proceedings of the AAAI Conference on Artificial Intelligence. (AAAI 2021, CCF-A)
[6] Guangsheng Bao*, Hongbo Zhang*, Linyi Yang, Cunxiang Wang, Yue Zhang. 2025. How Likely Do LLMs with CoT Mimic Human Reasoning? In Proceedings of the 31st International Conference on Computational Linguistics. (COLING 2025, CCF-B)
[7] Guangsheng Bao, Yue Zhang. 2023. A General Contextualized Rewriting Framework for Text Summarization. In IEEE/ACM Transactions on Audio, Speech and Language Processing. (TASLP, SCI, CCF-B)
[8] Guangsheng Bao, Zebin Ou, Yue Zhang. 2023. GEMINI: Controlling The Sentence-Level Summary Style in Abstractive Text Summarization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2023, CCF-B)
[9] Guangsheng Bao*, Zhiyang Teng*, Hao Zhou, Jianhao Yan, Yue Zhang. 2023. Non-Autoregressive Document-Level Machine Translation. In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2023 Findings, CCF-B)
[10] Guangsheng Bao*, Lihua Rong*, Yanbin Zhao, Xiao Yu, Qiji Zhou, Yue Zhang. 2026. Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks. In Transactions of the Association for Computational Linguistics. (TACL, SCI, CCF-B)
[11] Hongbo Zhang*, Han Cui*, Guangsheng Bao*, Linyi Yang, Jun Wang, Yue Zhang. 2025. Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2025, CCF-B)
[12] Zhizhang FU*, Guangsheng Bao*, Hongbo Zhang, Chenkai Hu, Yue Zhang. 2026. Correlation or Causation: Analyzing the Causal Structures of LLM and LRM Reasoning Process. In IEEE/ACM Transactions on Audio, Speech and Language Processing. (TASLP, SCI, CCF-B)
长期担任 ACL, ICLR, EMNLP, ICML, NeurIPS, TACL, TKDE 等顶会顶刊审稿人，曾任COLING 2022领域主席。
