Dr Yi Zhou

(she/her)

PhD

2024

• Myung, J. et al. 2024. BLEND: A benchmark for LLMs on everyday knowledge in diverse cultures and languages. Presented at: 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks, Vancouver, BC, Canada, 9-15 December 2024 Presented at Globerson, A. et al. eds.NeurIPS Proceedings: Advances in Neural Information Processing Systems, Vol. 37. Curran Associates, Inc. pp. 78104-78146.
• Zhang, G., Zhou, Y. and Bollegala, D. 2024. Evaluating unsupervised dimensionality reduction methods for pretrained sentence embeddings. Presented at: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Turin, Italy, 20-25 May 2024Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Turin, Italy: ELRA and ICCL pp. 6530-6543.
• Zhou, Y. 2024. Evaluating short-term temporal fluctuations of social biases in social media data and masked language models. Presented at: The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, 12-16 November 2024Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics pp. 19693–19708.

2023

• Zhou, Y., Camacho Collados, J. and Bollegala, D. 2023. A predictive factor analysis of social biases and task-performance in pretrained masked language models. Presented at: 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, 6-10 December 2023 Presented at Bouamor, H., Pino, J. and Bali, K. eds.Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics pp. 11082–11100., (10.18653/v1/2023.emnlp-main.683)
• Tang, X., Zhou, Y., Aida, T., Sen, P. and Bollegala, D. 2023. Can word sense distribution detect semantic changes of words?. Presented at: Conference on Empirical Methods in Natural Language Processing, EMNLP, Singapore, 6-10 December 2023 Presented at Bouamor, H., Pino, J. and Bali, K. eds.Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics, (10.18653/v1/2023.findings-emnlp.231)
• Ushio, A., Zhou, Y. and Camacho-Collados, J. 2023. Efficient multilingual language model compression through vocabulary trimming. Presented at: The 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, 6 - 10 December 2023 Presented at Bouamor, H., Pino, J. and Bali, K. eds.Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics pp. 14725-14739., (10.18653/v1/2023.findings-emnlp.981)
• Wannasuphoprasit, S., Zhou, Y. and Bollegala, D. 2023. Solving cosine similarity underestimation between high frequency words by ℓ2 norm discounting. Presented at: 61st Annual Meeting of the Association of Computational Linguistics, Toronto, Canada, 9 - 14 July 2023 Presented at Rogers, A., Boyd-Graber, J. and Okazaki, N. eds.Findings of the Association of Computational Linguistics: ACL 2023. Association of Computational Linguistics pp. 8644-8652., (10.18653/v1/2023.findings-acl.550)
• Tang, X., Zhou, Y. and Bollegala, D. 2023. Learning dynamic contextualised word embeddings via template-based temporal adaptation. Presented at: 61st Annual Meeting of the Association of Computational Linguistics, Toronto, Canada, 9 - 14 July 2023 Presented at Rogers, A., Boyd-Graber, J. and Okazaki, N. eds.Proceedings of the 61st Meeting of the Association of Computational Linguistics (Volume 1: Long Papers). Association of Computational Linguistics, (10.18653/v1/2023.acl-long.520)
• Luo, H., Zhou, Y. and Bollegala, D. 2023. Together we make sense? Learning meta-sense embeddings. Presented at: 61st Annual Meeting of the Association of Computational Linguistics, Toronto, Canada, 9 - 14 July 2023 Presented at Rogers, A., Boyd-Graber, J. and Okazaki, N. eds.Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics, (10.18653/v1/2023.findings-acl.165)

2022

• Zhou, Y. and Bollegala, D. 2022. On the curious case of l2 norm of sense embeddings. Presented at: The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Abu Dhabi, United Arab Emirates, 7 - 11 December 2022 Presented at Goldberg, Y., Kozareva, Z. and Zhang, Y. eds.Findings of the Association for Computation Linguistics: EMNLP 2022. Association for Computational Linguistics, (10.18653/v1/2022.findings-emnlp.190)
• Zhou, Y., Kaneko, M. and Bollegala, D. 2022. Sense embeddings are also biased ? Evaluating social biases in static and contextualised sense embeddings. Presented at: ACL 2022: 60th Annual Meeting for Computational Linguistics, Dublin, Ireland, 22 - 27 May 2022 Presented at Muresan, S., Nakov, P. and Villavicencio, A. eds.Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Vol. 1. Association for Computational Linguistics pp. 1924 - 1935., (10.18653/v1/2022.acl-long.135)

2020

• Cao, G., Zhou, Y., Bollegala, D. and Luo, S. 2020. Spatio-temporal attention model for tactile texture recognition. Presented at: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 24 October 2020 - 20 January 20212020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE Xplore pp. 9896 - 9902., (10.1109/IROS45743.2020.9341333)

2019

• Bollegala, D. and Zhou, Y. 2019. Unsupervised Evaluation of Human Translation Quality. Presented at: 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Vienna, Austria, 17 - 19 September 2019 Presented at Fred, A. and Filipe, J. eds.Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management IC3K, Vol. 1. SciTePress pp. 55-64., (10.5220/0008064500550064)