P. X. Nguyen, Z. Lu, W. Huang, S. Huang, A. Katsuki & Z. Lin (2019).Medical image segmentation with stochastic aggregated loss in a unified U-Net. In 2019 IEEE EMBS International Conference on Biomedical Health Informatics (BHI) (IEEE BHI 2019), Chicago, USA.
Xuan-Phi Nguyen, Shafiq Joty, Thank-Tung Nguyen (2019). Enhancing Attention with Explicit Phrasal Alignments.
Xuan-Phi Nguyen*, Thanh-Tung Nguyen*, Shafiq Joty & Xiaoli Li (2020). Differentiable Window for Dynamic Local Attention. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics.
Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty & Xiaoli Li (2020). Efficient Constituency Parsing by Pointing. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics.
Xuan-Phi Nguyen, Shafiq Joty, Steven Hoi, & Richard Socher (2020). Tree-Structured Attention with Hierarchical Accumulation. In International Conference on Learning Representations.
Xuan-Phi Nguyen, Shafiq Joty, Wu Kui, & Ai Ti Aw (2019). Data Diversification: An Elegant Strategy For Neural Machine Translation. In the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada, 2020.
Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty & Xiaoli Li (2021). In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL 2021).
Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty & Xiaoli Li (2021). A Conditional Splitting Framework for Efficient Constituency Parsing. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics.
Xuan-Phi Nguyen, Shafiq Joty, Thanh-Tung Nguyen, Wu Kui, & Ai Ti Aw (2021). Cross-model Back-translated Distillation for Unsupervised Machine Translation. In Proceedings of the 38th International Conference on Machine Learning (ICML 2021).
Xuan-Phi Nguyen, Hongyu Gong, Yun Tang, Changhan Wang, Philipp Koehn, and Shafiq Joty (2022). Contrastive Clustering to Mine Pseudo Parallel Data for Unsupervised Translation. In International Conference on Learning Representations (ICLR) 2022.
Xuan-Phi Nguyen, Shafiq Joty, Wu Kui & Aw Ai Ti (2022). Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Model. 36th Conference on Neural Information Processing Systems (NeurIPS 2022).
Xuan-Phi Nguyen, Sravya Popuri, Changhan Wang, Yun Tang, Ilia Kulikov, Hongyu Gong (2023). Improving Speech-to-Speech Translation Through Unlabeled Text. 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023).
Shen, Chenhui, Liying Cheng, Xuan-Phi Nguyen, Yang You, and Lidong Bing (2023). A hierarchical encoding-decoding scheme for abstractive multi-document summarization. EMNLP 2023 - The 2023 Conference on Empirical Methods in Natural Language Processing
Shen, Chenhui, Liying Cheng, Xuan-Phi Nguyen, Yang You, and Lidong Bing (2023). Large language models are not yet human-level evaluators for abstractive summarization. EMNLP 2023 - The 2023 Conference on Empirical Methods in Natural Language Processing
Xuan-Phi Nguyen, Sharifah Mahani Aljunied, Shafiq Joty, Lidong Bing (2024). Democratizing LLMs for low-resource languages by leveraging their english dominant abilities with linguistically-diverse prompts. ACL 2024 - Proceedings of the Annual Meeting of the Association for Computational Linguistics.
Xingxuan Li, Xuan-Phi Nguyen, Shafiq Joty, Lidong Bing (2024). ParaICL: Towards Robust Parallel In-Context Learning. Arxiv Preprint.
Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing (2024). SeaLLMs - Large Language Models for Southeast Asia. ACL 2024 - Proceedings of the Annual Meeting of the Association for Computational Linguistics.
Xuan-Phi Nguyen, Shrey Pandit, Senthil Purushwalkam, Austin Xu, Hailin Chen, Yifei Ming, Zixuan Ke, Silvio Savarese, Caiming Xong, Shafiq Joty (2024). SFR-RAG: Towards Contextually Faithful LLMs. Arxiv Preprint - Technical report.
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA