Minghao Wu

According to our database, Minghao Wu authored at least 47 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Assessing Medical Ethics from Knowledge to Practice.

Chang Hong, Minghao Wu, Qingying Xiao, Yuchi Wang, Xiang Wan, Guangjun Yu, Benyou Wang, Yan Hu

CoRR, August, 2025

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models.

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

CoRR, July, 2025

Rethinking Multilingual Vision-Language Translation: Dataset, Evaluation, and Adaptation.

Xintong Wang, Jingheng Pan, Yixiao Liu, Xiaohu Zhao, Chenyang Lyu, Minghao Wu, Chris Biemann, Longyue Wang, Linlong Xu, Weihua Luo, Kaifu Zhang

CoRR, June, 2025

TransBench: Benchmarking Machine Translation for Industrial-Scale Applications.

Haijun Li, Tianqi Shi, Zifu Shang, Yuxuan Han, Xueyu Zhao, Hao Wang, Yu Qian, Zhiqiang Qian, Linlong Xu, Minghao Wu, Chenyang Lyu, Longyue Wang, Gongbo Tang, Weihua Luo, Zhao Xu, Kaifu Zhang

CoRR, May, 2025

ExpertSteer: Intervening in LLMs through Expert Knowledge.

Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch

CoRR, May, 2025

HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models.

Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch

CoRR, May, 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

CoRR, April, 2025

New Trends for Modern Machine Translation with Large Reasoning Models.

Sinuo Liu, Chenyang Lyu, Minghao Wu, Longyue Wang, Weihua Luo, Kaifu Zhang, Zifu Shang

CoRR, March, 2025

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

CoRR, March, 2025

Demystifying Multilingual Chain-of-Thought in Process Reward Modeling.

Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch

CoRR, February, 2025

TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets.

Yuzhe Yang, Yifei Zhang, Minghao Wu, Kaidi Zhang, Yunmiao Zhang, Honghai Yu, Yan Hu, Benyou Wang

CoRR, February, 2025

(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, Kaifu Zhang

Trans. Assoc. Comput. Linguistics, 2025

Accurate measurement of key structures in CBD patients using deep learning.

Zheng Wang, Kaibin Lin, Mingcai Zheng, Lingqi Gong, Zhiyuan Chen, Minghao Wu

Biomed. Signal Process. Control., 2025

Style Over Substance: Evaluation Biases for Large Language Models.

Minghao Wu, Alham Fikri Aji

Proceedings of the 31st International Conference on Computational Linguistics, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention.

Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Artificial intelligence-empowered assessment of bile duct stone removal challenges.

Zheng Wang, Hao Yuan, Kaibin Lin, Yu Zhang, Yang Xue, Peng Liu, Zhiyuan Chen, Minghao Wu

Expert Syst. Appl., 2024

The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph.

Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari

CoRR, 2024

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models.

Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari

CoRR, 2024

(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts.

Minghao Wu, Yulin Yuan, Gholamreza Haffari, Longyue Wang

CoRR, 2024

Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models.

Chenyang Lyu, Minghao Wu, Alham Fikri Aji

CoRR, 2024

Adapting Large Language Models for Document-Level Machine Translation.

Minghao Wu, Thuy-Trang Vu, Lizhen Qu, George F. Foster, Gholamreza Haffari

CoRR, 2024

Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation.

Longyue Wang, Siyou Liu, Chenyang Lyu, Wenxiang Jiao, Xing Wang, Jiahao Xu, Zhaopeng Tu, Yan Gu, Weiyu Chen, Minghao Wu, Liting Zhou, Philipp Koehn, Andy Way, Yulin Yuan

Proceedings of the Ninth Conference on Machine Translation, 2024

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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation.

Zhanyu Wang, Longyue Wang, Zhen Zhao, Minghao Wu, Chenyang Lyu, Huayang Li, Deng Cai, Luping Zhou, Shuming Shi, Zhaopeng Tu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models.

Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Reza Haf

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Re-Evaluating Evaluation for Multilingual Summarization.

Jessica Forde, Ruochen Zhang, Lintang Sutawika, Alham Fikri Aji, Samuel Cahyawijaya, Genta Indra Winata, Minghao Wu, Carsten Eickhoff, Stella Biderman, Ellie Pavlick

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions.

Minghao Wu, Abdul Waheed, Chiyu Zhang, Muhammad Abdul-Mageed, Alham Fikri Aji

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Importance-Aware Data Augmentation for Document-Level Neural Machine Translation.

Minghao Wu, Yufei Wang, George F. Foster, Lizhen Qu, Gholamreza Haffari

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Demystifying Instruction Mixing for Fine-tuning Large Language Models.

Renxi Wang, Haonan Li, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Timothy Baldwin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Understanding the Instruction Mixture for Large Language Model Fine-tuning.

Renxi Wang, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Haonan Li

CoRR, 2023

Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration.

Chenyang Lyu, Minghao Wu, Longyue Wang, Xinting Huang, Bingshuai Liu, Zefeng Du, Shuming Shi, Zhaopeng Tu

CoRR, 2023

Bactrian-X : A Multilingual Replicable Instruction-Following Model with Low-Rank Adaptation.

Haonan Li, Fajri Koto, Minghao Wu, Alham Fikri Aji, Timothy Baldwin

CoRR, 2023

Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation.

Minghao Wu, George F. Foster, Lizhen Qu, Gholamreza Haffari

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Universal Conditional Masked Language Pre-training for Neural Machine Translation.

Pengfei Li, Liangyou Li, Meng Zhang, Minghao Wu, Qun Liu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

NoahNMT at WMT 2021: Dual Transfer for Very Low Resource Supervised Machine Translation.

Meng Zhang, Minghao Wu, Pengfei Li, Liangyou Li, Qun Liu

Proceedings of the Sixth Conference on Machine Translation, 2021

Fake News Detection by Using Common Latent Semantics Matching Method.

Zhi Zeng, Linyun Ye, Ruigang Liu, Ziwen Cui, Minghao Wu, Ying Sha

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training.

Minghao Wu, Yitong Li, Meng Zhang, Liangyou Li, Gholamreza Haffari, Qun Liu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2018

Evaluating the Utility of Hand-crafted Features in Sequence Labelling.

Minghao Wu, Fei Liu, Trevor Cohn

CoRR, 2018

Evaluating the Utility of Hand-crafted Features in Sequence Labeling.

Minghao Wu, Fei Liu, Trevor Cohn

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2016

Historical Spectrum Sensing Data Mining for Cognitive Radio Enabled Vehicular Ad-Hoc Networks.

Xin-Lin Huang, Jun Wu, Wenfeng Li, Zhifeng Zhang, Fusheng Zhu, Minghao Wu

IEEE Trans. Dependable Secur. Comput., 2016

2014

Stack engineering for ReRAM devices performance improvement.

Huaqiang Wu, Xinyi Li, Yue Bai, Ye Zhang, Minghao Wu, Zhiping Yu, He Qian

Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

2013

Lyapunov Inverse Iteration for Computing a Few Rightmost Eigenvalues of Large Generalized Eigenvalue Problems.

Howard C. Elman, Minghao Wu

SIAM J. Matrix Anal. Appl., 2013

2012

Lyapunov Inverse Iteration for Identifying Hopf Bifurcations in Models of Incompressible Flow.

Howard C. Elman, Karl Meerbergen, Alastair Spence, Minghao Wu

SIAM J. Sci. Comput., 2012