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Staff profile

Overview

ChengHao Xiao

Postgraduate Student

Affiliations
Affiliation
Postgraduate Student in the Department of Computer Science

Publications

Chapter in book

  • Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews
    Xiao, 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

  • Everything is a Video: Unifying Modalities through Next-Frame Prediction
    Hudson, G. T., Slack, D., Winterbottom, T., Sterling, J., Xiao, C., Shentu, J., & Al Moubayed, N. (in press). Everything is a Video: Unifying Modalities through Next-Frame Prediction. Presented at Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Hawai’i Convention Center.
  • Overview of the BioLaySumm 2025 Shared Task on Lay Summarization of Biomedical Research Articles and Radiology Reports
    Xiao, 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 Representations
    Xiao, 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 Retrieval
    Wu, 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 Semantics
    Xiao, 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