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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Minghao Wu - Monash University
Minghao Wu - Monash University
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Posts
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
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]
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]
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, 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]
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, 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]
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, 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, 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, Thuy-Trang Vu, Lizhen Qu, and Gholamreza Haffari. 2024. Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 14226–14240, Miami, Florida, USA. Association for Computational Linguistics. [Link to arXiv|More info]
Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari. 2024. The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph. In CoRR, abs/2410.12458. [Link to arXiv|More info]