Staff profile
Overview
ChengHao Xiao
Postgraduate Student

Affiliation |
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Postgraduate Student in the Department of Computer Science |
Publications
Chapter in book
- Fine-grained Main Ideas Extraction and Clustering of Online Course ReviewsXiao, C., Shi, L., Cristea, A., Li, Z., & Pan, Z. (2022). Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews. In M. Rodrigo, N. Matsuda, A. Cristea, & V. Dimitrova (Eds.), Artificial Intelligence in Education (pp. 294-306). Springer, Cham. https://doi.org/10.1007/978-3-031-11644-5_24
Conference Paper
- Overview of the BioLaySumm 2025 Shared Task on Lay Summarization of Biomedical Research Articles and Radiology ReportsXiao, C., Zhao, K., Wang, X., Wu, S., Yan, S., Goldsack, T., Ananiadou, S., Al Moubayed, N., Zhan, L., Cheung, W. K., & Lin, C. (2025). Overview of the BioLaySumm 2025 Shared Task on Lay Summarization of Biomedical Research Articles and Radiology Reports. In D. Demner-Fushman, S. Ananiadou, M. Miwa, & J. Tsujii (Eds.), Proceedings of the 24th Workshop on Biomedical Language Processing (pp. 365-377). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.bionlp-1.31
- Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal RepresentationsXiao, C., Chan, H. P., Zhang, H., Aljunied, M., Bing, L., Al Moubayed, N., & Rong, Y. (2025). Analyzing LLMs’ Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 24099-24115). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.acl-long.1174
- SciMMIR: Benchmarking Scientific Multi-modal Information RetrievalWu, S., Li, Y., Zhu, K., Zhang, G., Liang, Y., Ma, K., Xiao, C., Zhang, H., Yang, B., Chen, W., Huang, W., Al Moubayed, N., Fu, J., & Lin, C. (2024). SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. In Findings of the Association for Computational Linguistics: ACL 2024 (pp. 12560-12574). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-acl.746
- Length is a Curse and a Blessing for Document-level SemanticsXiao, C., Li, Y., Hudson, G. T., Lin, C., & Al Moubayed, N. (2023). Length is a Curse and a Blessing for Document-level Semantics. Presented at The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore.
Journal Article
- Adversarial Defence without Adversarial Defence: Enhancing Language Model Robustness via Instance-level Principal Component RemovalWang, Y., Xiao, C., Li, Y., Middleton, S. E., Al Moubayed, N., & Lin, C. (in press). Adversarial Defence without Adversarial Defence: Enhancing Language Model Robustness via Instance-level Principal Component Removal. Transactions of the Association for Computational Linguistics.