教师名录
个人简介
吴小宝博士，上海交通大学计算机学院助理教授、博士生导师，上海市海外高层次青年人才。 博士毕业于新加坡南洋理工大学，硕士和本科毕业于清华大学和东南大学。 曾任加州大学圣巴巴拉分校访问学者，南洋理工大学博士后研究员。 主要研究方向包括人工智能、自然语言处理、大语言模型等。 在NeurIPS、ICML、ICLR、ACL、EMNLP等国际顶级会议与期刊上累计发表论文40余篇， 长期担任ACL、EMNLP等国际会议领域主席，一作论文曾获ACL 2025领域主席奖。
教育背景
2014 - 2018 东南大学 本科
2018 - 2021 清华大学 硕士
2021 - 2024 新加坡南洋理工大学 博士
工作履历
2025 - 2026 新加坡南洋理工大学 博士后研究员
2026 - 至今 上海交通大学 长聘教轨助理教授
论文发表
1. AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, and William Yang Wang. Annual Meeting of the Association for Computational Linguistics (ACL), 2025. Senior Area Chair Highlights Award
2. FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model. Xiaobao Wu, Thong Nguyen, Delvin Ce Zhang, William Yang Wang, and Anh Tuan Luu. Neural Information Processing Systems (NeurIPS), 2024
3. AKEW: Assessing Knowledge Editing in the Wild. Xiaobao Wu, Liangming Pan, William Yang Wang, and Anh Tuan Luu. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
4. Are LLMs Good Zero-shot Fallacy Classifiers? Fengjun Pan, Xiaobao Wu, Zongrui Li, and Anh Tuan Luu. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
5. A Survey on Neural Topic Models: Methods, Applications, and Challenges. Xiaobao Wu, Thong Nguyen, and Anh Tuan Luu. Artificial Intelligence Review (AIR), 2024
6. Towards the TopMost: A Topic Modeling System Toolkit. Xiaobao Wu, Fengjun Pan, and Anh Tuan Luu.Annual Meeting of the Association for Computational Linguistics: System Demonstration Track (ACL Demo), 2024
7. Effective Neural Topic Modeling with Embedding Clustering Regularization. Xiaobao Wu, Xinshuai Dong, Thong Nguyen, and Anh Tuan Luu. International Conference on Machine Learning (ICML), 2023
8. Fact-Checking Complex Claims with Program-Guided Reasoning. Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, and Preslav Nakov. Annual Meeting of the Association for Computational Linguistics (ACL), 2023
9. Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning. Xiaobao Wu, Anh Tuan Luu, and Xinshuai Dong. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
10. Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder.Xiaobao Wu, Chunping Li, Yan Zhu, and Yishu Miao. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
获奖信息
ACL 2025 Senior Area Chair Highlights Award
学术服务
担任ACL，EMNLP等会议领域主席
English
