Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari. 2024. Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. In CoRR, abs/2406.08811. [Link to arXiv|More info]
Publications
Minghao Wu, Yulin Yuan, Gholamreza Haffari, Longyue Wang. 2024. (Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts. In CoRR, abs/2405.11804. [Link to arXiv|More info]
Minghao Wu, Abdul Waheed, Chiyu Zhang, Muhammad Abdul-Mageed, and Alham Fikri Aji. 2024. LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 944–964, St. Julian’s, Malta. Association for Computational Linguistics. [Link to ACL anthology|More info]
Minghao Wu, Yufei Wang, George Foster, Lizhen Qu, and Gholamreza Haffari. 2024. Importance-Aware Data Augmentation for Document-Level Neural Machine Translation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 740–752, St. Julian’s, Malta. Association for Computational Linguistics. [Link to ACL anthology|More info]
Minghao Wu, Thuy-Trang Vu, Lizhen Qu, George Foster, Gholamreza Haffari. 2024. Adapting Large Language Models for Document-Level Machine Translation. In CoRR, abs/2401.06468. [Link to arXiv|More info]
Haonan Li, Fajri Koto, Minghao Wu, Alham Fikri Aji, Timothy Baldwin. 2023. Bactrian-X : A Multilingual Replicable Instruction-Following Model with Low-Rank Adaptation. In CoRR, abs/2305.15011. [Link to arXiv|More info]
Minghao Wu, George Foster, Lizhen Qu, and Gholamreza Haffari. 2023. Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 448–462, Dubrovnik, Croatia. Association for Computational Linguistics. [Link to ACL anthology|More info]
Pengfei Li, Liangyou Li, Meng Zhang, Minghao Wu, and Qun Liu. 2022. Universal Conditional Masked Language Pre-training for Neural Machine Translation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 6379–6391, Dublin, Ireland. Association for Computational Linguistics. [Link to ACL anthology|More info]
Minghao Wu, Yitong Li, Meng Zhang, Liangyou Li, Gholamreza Haffari and Qun Liu (2021) Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 7291–7305, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics. [Link to ACL anthology|More info]
Minghao Wu, Fei Liu and Trevor Cohn (2018) Evaluating the Utility of Hand-crafted Features in Sequence Labelling. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 2850–2856, Brussels, Belgium. Association for Computational Linguistics. [Link to ACL anthology|More info]