Academic Staff
- HHB805, Hung Hom Bay Campus
- +852 2766 6978
- hai.hu@polyu.edu.hk
- Personal Website
ORCID ID
SCOPUS IDBiography
Hai Hu is a computational linguist. He received his PhD in Computational Linguistics from Indiana University Bloomington in 2021 (with a minor in Cognitive Science), and his BA and MA in English/Linguistics from Renmin University of China. He is interested in LLM benchmarking, cognitively informed LM training, and linguistics in general. He has published more than 20 articles in top-tier journals in AI and NLP such as Computational Linguistics, Transactions of ACL, and conferences such as ACL, AAAI, EMNLP and COLING, with 1,000+ citations. He created multiple NLP resources in Chinese that are widely used in industry and academia for LLM training and evaluation, such as the CLUE benchmark suite. His research is funded by multiple competitive research grants in the Chinese mainland and Hong Kong SAR. He is the recipient of the Highlight paper award of CCL 2024. For more updated information, see his personal webpage: https://huhailinguist.github.io/
Education and Academic Qualifications
- 2021
PhD in Computational Linguistics (minor in Cognitive Science), Indiana University Bloomington - 2015
MA in English Linguistics, Renmin University of China - 2012
BA in English Language and Literature (minor in Chinese), Renmin University of China
Academic and Professional Experience
- 2025/08 – 2026/06
Assistant Professor in Computational Linguistics, Department of Linguistics and Translation, City University of Hong Kong - 2021/09 – 2025/07
Assistant Professor in Computational Linguistics, School of Foreign Languages, Shanghai Jiao Tong University
Teaching Areas
- Electronic Publishing (CityUHK, Undergraduate level)
- Computer-Assisted Language Learning (CityUHK, Graduate level)
- Introduction to the theory and applications of LLMs (SJTU, Undergraduate level)
- Language Intelligence (SJTU, Undergraduate level)
- Academic writing (SJTU, Graduate level)
- College English (SJTU, Undergraduate level)
Research Interests
Selected Publications
- Liu, Y., Shen, Y., Zhu, H., Xu, L., Qian, Z., Song, S., Zhang, K., Tang, J., Zhang, P., Yang, B., Wang, R., & Hu, H. (2026). A Systematic Assessment of Language Models with Linguistic Minimal Pairs in Chinese. Transactions of the Association for Computational Linguistics, 14, 755-771. https://doi.org/10.1162/tacl.a.648
- Yue, S., Song, S., Cheng, X., & Hu, H. (2024). Do large language models understand conversational Implicature – A case study with a Chinese sitcom. Lecture Notes in Computer Science, 402-418. https://doi.org/10.1007/978-981-97-8367-0_24 (Highlight Paper Award)
- Kalouli, A.*, Hu, H.*, Webb, A. F., Moss, L. S., & De Paiva, V. (2023). Curing the SICK and other NLI maladies. Computational Linguistics. 49(1): 199-243. https://doi.org/10.1162/coli_a_00465 *equal contributions.
- Hu, H., & Kübler, S. (2020). Investigating translated Chinese and its variants using machine learning. Natural Language Engineering, 27(3), 339-372. https://doi.org/10.1017/s1351324920000182
- Hu, H., Richardson, K., Xu, L., Li, L., Kübler, S., & Moss, L. (2020). OCNLI: Original Chinese natural language inference. Findings of the Association for Computational Linguistics: EMNLP 2020, 3512-3526. https://doi.org/10.18653/v1/2020.findings-emnlp.314
- Richardson, K., Hu, H., Moss, L., & Sabharwal, A. (2020). Probing natural language inference models through semantic fragments. Proceedings of the AAAI Conference on Artificial Intelligence, 34(05), 8713-8721. https://doi.org/10.1609/aaai.v34i05.6397
- Xu, L., Hu, H., Zhang, X., Li, L., Cao, C., Li, Y., Xu, Y., Sun, K., Yu, D., Yu, C., Tian, Y., Dong, Q., Liu, W., Shi, B., Cui, Y., Li, J., Zeng, J., Wang, R., Xie, W., … Lan, Z. (2020). CLUE: A Chinese language understanding evaluation benchmark. Proceedings of the 28th International Conference on Computational Linguistics, 4762-4772. https://doi.org/10.18653/v1/2020.coling-main.419
- 2026 - Present
GRF (No. 11600426), RGC, HKD 522,500. - 2025 - Present
国社科一般项目 (No. 25BYY133), NSSFC, RMB 200,000. - 2022 - Present
教育部人文社科青年项目, MoE China, RMB 80,000. - 2022 - Present
浦江人才计划, Shanghai Govt, RMB 150,000.
- Editorial board: Journal of Natural Language Processing
- ACL ARR reviewer / Area Chair
- Natural Language Meets Logic and Machine Learning (NALOMA) workshop organizing committee
- ChineseBabyLM organizing committee
- Highlight Paper Award: 2024 China National Conference on Computational Linguistics (CCL)
