HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models
Weixuan Wang*, Minghao Wu*, Barry Haddow, and Alexandra Birch. HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models. abs/2505.12300.
CV
CV can be downloaded from here.
Education
- Ph.D. Computer Science, Monash University, 2022
- M.Eng. Information Technology, The University of Melbourne, 2018
- B.Sc. Statistics and Information Systems, The University of Sydney, 2016
Work Experience
- Jun. 2025 - Present: Postdoctoral Research Associate at The University of North Carolina at Chapel Hill.
- Nov. 2024 - Apr. 2025: Research Intern at Alibaba Group.
- Jul. 2023 - Oct. 2023: Research Intern at Tencent AI Lab.
- Apr. 2023 - Jul. 2023: Visiting Researcher at Mohamed bin Zayed University of Artificial Intelligence.
- Jul. 2020 - Jul. 2021: Research Intern at Huawei Noah’s Ark Lab.
- Aug. 2018 - Jul. 2019: Research Engineer at JD AI Research of JD.com, Inc.
Languages
- Chinese: Native or Bilingual Proficiency
- English: Full Professional Proficiency
Publications
ExpertSteer: Intervening in LLMs through Expert Knowledge
Weixuan Wang*, Minghao Wu*, Barry Haddow, and Alexandra Birch. ExpertSteer: Intervening in LLMs through Expert Knowledge. abs/2505.12313.
(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts
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
Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention
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
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph
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
The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks
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.
Demystifying Multilingual Chain-of-Thought in Process Reward Modeling
Weixuan Wang*, Minghao Wu*, Barry Haddow, and Alexandra Birch. Demystifying Multilingual Chain-of-Thought in Process Reward Modeling. abs/2502.12663.
TransAgents: Build Your Translation Company with Language Agents
Minghao Wu, Jiahao Xu, and Longyue Wang. TransAgents: Build Your Translation Company with Language Agents. EMNLP 2024
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models
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
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions
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
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation
Minghao Wu, Yufei Wang, George Foster, Lizhen Qu, and Gholamreza Haffari. Importance-Aware Data Augmentation for Document-Level Neural Machine Translation. EACL 2024
Adapting Large Language Models for Document-Level Machine Translation
Minghao Wu, Thuy-Trang Vu, Lizhen Qu, George Foster, Gholamreza Haffari. Adapting Large Language Models for Document-Level Machine Translation. abs/2401.06468.
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation
Minghao Wu, George Foster, Lizhen Qu, and Gholamreza Haffari. 2023. Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation. EACL 2023
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training
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
Evaluating the Utility of Hand-crafted Features in Sequence Labelling
Minghao Wu, Fei Liu and Trevor Cohn. Evaluating the Utility of Hand-crafted Features in Sequence Labelling. EMNLP 2018