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Minghao Wu - The University of North Carolina at Chapel Hill
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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.
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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.
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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.
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]
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, 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, 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, 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, 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, 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, Jiahao Xu, and Longyue Wang. TransAgents: Build Your Translation Company with Language Agents. EMNLP 2024 [Link to ACL anthology|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, 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]
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]
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, 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. ExpertSteer: Intervening in LLMs through Expert Knowledge. abs/2505.12313. [Link to arXiv|More info]
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]