Minghao Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
10
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | PrinciplismQA: A Philosophy-Grounded Approach to Assessing LLM-Human Clinical Medical Ethics Alignment. | Chang Hong, Minghao Wu, Qingying Xiao, Yuchi Wang, Xiang Wan, Guangjun Yu, Benyou Wang, Yan Hu |
| 2026 | LREC | New Trends for Modern Machine Translation with Large Reasoning Models. | Sinuo Liu, Chenyang Lyu, Minghao Wu, Zifu Shang, Longyue Wang, Weihua Luo, Kaifu Zhang |
| 2025 | ACL | Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention. | Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch |
| 2025 | ACL | Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models. | Huifeng Yin, Yu Zhao, Minghao Wu, Xuanfan Ni, Bo Zeng, Hao Wang, Tianqi Shi, Liangying Shao, Chenyang Lyu, Longyue Wang, Weihua Luo, Kaifu Zhang |
| 2025 | ACL | Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language. | Bo Zeng, Chenyang Lyu, Sinuo Liu, Mingyan Zeng, Minghao Wu, Xuanfan Ni, Tianqi Shi, Yu Zhao, Yefeng Liu, Chenyu Zhu, Ruizhe Li, Jiahui Geng, Qing Li, Yu Tong, Longyue Wang, Weihua Luo, Kaifu Zhang |
| 2025 | COLING | Style Over Substance: Evaluation Biases for Large Language Models. | Minghao Wu, Alham Fikri Aji |
| 2025 | EMNLP | Demystifying Multilingual Reasoning in Process Reward Modeling. | Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch |
| 2025 | ICML | The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph. | Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari |
| 2025 | SMC | On the Taxonomy, Tasks, and Open-Challenges for Multimodal Large Language Models. | Lecheng Yan, Ruizhe Li, Jiahui Geng, Qing Li, Minghao Wu, Zhanyu Wang, Wenxi Li, Tianbo Ji, Shaochen Jiang, Chenyang Lyu |
| 2024 | ACL | Demystifying Instruction Mixing for Fine-tuning Large Language Models. | Renxi Wang, Haonan Li, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Timothy Baldwin |
| 2024 | COLING | A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models. | Chenyang Lyu, Zefeng Du, Jitao Xu, Yitao Duan, Minghao Wu, Teresa Lynn, Alham Fikri Aji, Derek F. Wong, Longyue Wang |
| 2024 | EACL | Importance-Aware Data Augmentation for Document-Level Neural Machine Translation. | Minghao Wu, Yufei Wang, George F. Foster, Lizhen Qu, Gholamreza Haffari |
| 2024 | EACL | LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions. | Minghao Wu, Abdul Waheed, Chiyu Zhang, Muhammad Abdul-Mageed, Alham Fikri Aji |
| 2024 | EMNLP | Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue. | Huifang Du, Shuqin Li, Minghao Wu, Xuejing Feng, Yuan-Fang Li, Haofen Wang |
| 2024 | EMNLP | Re-Evaluating Evaluation for Multilingual Summarization. | Jessica Zosa Forde, Ruochen Zhang, Lintang Sutawika, Alham Fikri Aji, Samuel Cahyawijaya, Genta Indra Winata, Minghao Wu, Carsten Eickhoff, Stella Biderman, Ellie Pavlick |
| 2024 | EMNLP | Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. | Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Reza Haf |
| 2024 | EMNLP | TransAgents: Build Your Translation Company with Language Agents. | Minghao Wu, Jiahao Xu, Longyue Wang |
| 2024 | RecSys | EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations. | Chiyu Zhang, Yifei Sun, Minghao Wu, Jun Chen, Jie Lei, Muhammad Abdul-Mageed, Rong Jin, Angli Liu, Ji Zhu, Sem Park, Ning Yao, Bo Long |
| 2023 | EACL | Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation. | Minghao Wu, George F. Foster, Lizhen Qu, Gholamreza Haffari |
| 2022 | ACL | Universal Conditional Masked Language Pre-training for Neural Machine Translation. | Pengfei Li, Liangyou Li, Meng Zhang, Minghao Wu, Qun Liu |
| 2021 | EMNLP | Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training. | Minghao Wu, Yitong Li, Meng Zhang, Liangyou Li, Gholamreza Haffari, Qun Liu |
| 2021 | ICTAI | Fake News Detection by Using Common Latent Semantics Matching Method. | Zhi Zeng, Linyun Ye, Ruigang Liu, Ziwen Cui, Minghao Wu, Ying Sha |
| 2018 | EMNLP | Evaluating the Utility of Hand-crafted Features in Sequence Labeling. | Minghao Wu, Fei Liu, Trevor Cohn |
| 2014 | ISCAS | Stack engineering for ReRAM devices performance improvement. | Huaqiang Wu, Xinyi Li, Yue Bai, Ye Zhang, Minghao Wu, Zhiping Yu, He Qian |