Minghao Wu

According to our database, Minghao Wu authored at least 23 papers between 2012 and 2024.

Collaborative distances:

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

2024

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

Chenyang Lyu, Minghao Wu, Alham Fikri Aji

CoRR, 2024

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

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

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

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

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

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

CoRR, 2023

Style Over Substance: Evaluation Biases for Large Language Models.

Minghao Wu, Alham Fikri Aji

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

CoRR, 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

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

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

CoRR, 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