Weixuan Wang*, Minghao Wu*, Barry Haddow, and Alexandra Birch. HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models. abs/2505.12300. [Link to arXiv|More info]
Publications
Weixuan Wang*, Minghao Wu*, Barry Haddow, and Alexandra Birch. ExpertSteer: Intervening in LLMs through Expert Knowledge. abs/2505.12313. [Link to arXiv|More info]
Minghao Wu, Jiahao Xu, Yulin Yuan, Gholamreza Haffari, Longyue Wang, Weihua Luo, and Kaifu Zhang. (Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts. TACL 2025 [Link to arXiv|More info]
Weixuan Wang*, Minghao Wu*, Barry Haddow, and Alexandra Birch. Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention. ACL 2025 [Link to arXiv|More info]
Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari. The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph. ICML 2025 [Link to arXiv|More info]
Minghao Wu, Weixuan Wang, Sinuo Liu, Huifeng Yin, Xintong Wang, Yu Zhao, Chenyang Lyu, Longyue Wang, Weihua Luo, Kaifu Zhang. The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks. abs/2504.15521. [Link to arXiv|More info]
Weixuan Wang*, Minghao Wu*, Barry Haddow, and Alexandra Birch. Demystifying Multilingual Chain-of-Thought in Process Reward Modeling. abs/2502.12663. [Link to arXiv|More info]
Minghao Wu, Jiahao Xu, and Longyue Wang. TransAgents: Build Your Translation Company with Language Agents. EMNLP 2024 [Link to ACL anthology|More info]
Minghao Wu, Thuy-Trang Vu, Lizhen Qu, and Gholamreza Haffari. Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. EMNLP 2024 [Link to arXiv|More info]
Minghao Wu, Abdul Waheed, Chiyu Zhang, Muhammad Abdul-Mageed, and Alham Fikri Aji. LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions. EACL 2024 [Link to ACL anthology|More info]
Minghao Wu, Yufei Wang, George Foster, Lizhen Qu, and Gholamreza Haffari. Importance-Aware Data Augmentation for Document-Level Neural Machine Translation. EACL 2024 [Link to ACL anthology|More info]
Minghao Wu, Thuy-Trang Vu, Lizhen Qu, George Foster, Gholamreza Haffari. Adapting Large Language Models for Document-Level Machine Translation. abs/2401.06468. [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. EACL 2023 [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. EMNLP 2021 [Link to ACL anthology|More info]
Minghao Wu, Fei Liu and Trevor Cohn. Evaluating the Utility of Hand-crafted Features in Sequence Labelling. EMNLP 2018 [Link to ACL anthology|More info]