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Hi! I’m a PhD student at Queen’s University in Kingston, Ontario. Supervised by Dr. Xiaodan Zhu and Dr. Samuel Dahan.
The main problems I’m interested in are:
Chu Fei Luo, Samuel Dahan, Xiaodan Zhu. 2025. Towards Low-Resource Alignment to Diverse Perspectives with Sparse Feedback. Findings of the 2025 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2025) paper link
Radin Shayanfar, Chu Fei Luo, Rohan Bhamboria, Samuel Dahan, Xiaodan Zhu. 2025. CoDial: Interpretable Task-Oriented Dialogue Systems Through Dialogue Flow Alignment. In review paper link
Chu Fei Luo, Radin Shayanfar, Rohan Bhamboria, Samuel Dahan, Xiaodan Zhu. 2024. Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation. Findings of the 2024 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2024) paper link
Chu Fei Luo, Ahmad Ghawanmeh, Xiaodan Zhu, Faiza Khan Khattak. 2024. BiasKG: Adversarial Knowledge Graphs to Induce Bias in Large Language Models. TrustNLP: Fourth Workshop on Trustworthy Natural Language Processing. (TrustNLP 2024) paper link
Chu Fei Luo, Rohan Bhamboria, Samuel Dahan, Xiaodan Zhu. 2023. Legally Enforceable Hate Speech Detection in Public Forums. Findings of the 2023 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2023) paper link
Chu Fei Luo, Rohan Bhamboria, Samuel Dahan, Xiaodan Zhu. 2023. Prototype-based Interpretability for Legal Citation Prediction. Findings of the 61st Annual Meeting of the Association for Computational Linguistics. (ACL 2023) paper link
Luo, C. F., Bhambhoria, R., Dahan, S., & Zhu, X. (2022). Evaluating Explanation Correctness in Legal Decision Making. Proceedings of the Canadian Conference on Artificial Intelligence. paper link