Minghao Wu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 27

Top Topics

Spectrum Sensing

Top Venues

Publications

Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. CoRR (2024)
Chenyang Lyu, Minghao Wu, Alham Fikri Aji
Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models. CoRR (2024)
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
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations. CoRR (2024)
Minghao Wu, Yufei Wang, George F. Foster, Lizhen Qu, Gholamreza Haffari
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation. EACL (1) (2024)
Minghao Wu, Thuy-Trang Vu, Lizhen Qu, George F. Foster, Gholamreza Haffari
Adapting Large Language Models for Document-Level Machine Translation. CoRR (2024)
Minghao Wu, Yulin Yuan, Gholamreza Haffari, Longyue Wang
(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts. CoRR (2024)
Huifang Du, Shuqin Li, Minghao Wu, Xuejing Feng, Yuan-Fang Li, Haofen Wang
Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue. CoRR (2024)
Minghao Wu, Yufei Wang, George F. Foster, Lizhen Qu, Gholamreza Haffari
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation. CoRR (2024)
Chenyang Lyu, Zefeng Du, Jitao Xu, Yitao Duan, Minghao Wu, Teresa Lynn, Alham Fikri Aji, Derek F. Wong, Longyue Wang
A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models. LREC/COLING (2024)
Minghao Wu, Abdul Waheed, Chiyu Zhang, Muhammad Abdul-Mageed, Alham Fikri Aji
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions. EACL (1) (2024)
Haonan Li, Fajri Koto, Minghao Wu, Alham Fikri Aji, Timothy Baldwin
Bactrian-X : A Multilingual Replicable Instruction-Following Model with Low-Rank Adaptation. CoRR (2023)
Minghao Wu, George F. Foster, Lizhen Qu, Gholamreza Haffari
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation. CoRR (2023)
Minghao Wu, Alham Fikri Aji
Style Over Substance: Evaluation Biases for Large Language Models. CoRR (2023)
Minghao Wu, Abdul Waheed, Chiyu Zhang, Muhammad Abdul-Mageed, Alham Fikri Aji
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions. CoRR (2023)
Minghao Wu, George F. Foster, Lizhen Qu, Gholamreza Haffari
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation. EACL (2023)
Zhanyu Wang, Longyue Wang, Zhen Zhao, Minghao Wu, Chenyang Lyu, Huayang Li, Deng Cai, Luping Zhou, Shuming Shi, Zhaopeng Tu
GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation. CoRR (2023)
Renxi Wang, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Haonan Li
Understanding the Instruction Mixture for Large Language Model Fine-tuning. CoRR (2023)
Chenyang Lyu, Minghao Wu, Longyue Wang, Xinting Huang, Bingshuai Liu, Zefeng Du, Shuming Shi, Zhaopeng Tu
Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration. CoRR (2023)
Pengfei Li, Liangyou Li, Meng Zhang, Minghao Wu, Qun Liu
Universal Conditional Masked Language Pre-training for Neural Machine Translation. CoRR (2022)
Pengfei Li, Liangyou Li, Meng Zhang, Minghao Wu, Qun Liu
Universal Conditional Masked Language Pre-training for Neural Machine Translation. ACL (1) (2022)
Minghao Wu, Yitong Li, Meng Zhang, Liangyou Li, Gholamreza Haffari, Qun Liu
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training. CoRR (2021)
Meng Zhang, Minghao Wu, Pengfei Li, Liangyou Li, Qun Liu
NoahNMT at WMT 2021: Dual Transfer for Very Low Resource Supervised Machine Translation. WMT@EMNLP (2021)
Zhi Zeng, Linyun Ye, Ruigang Liu, Ziwen Cui, Minghao Wu, Ying Sha
Fake News Detection by Using Common Latent Semantics Matching Method. ICTAI (2021)
Minghao Wu, Yitong Li, Meng Zhang, Liangyou Li, Gholamreza Haffari, Qun Liu
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training. EMNLP (1) (2021)
Minghao Wu, Fei Liu, Trevor Cohn
Evaluating the Utility of Hand-crafted Features in Sequence Labelling. CoRR (2018)
Minghao Wu, Fei Liu, Trevor Cohn
Evaluating the Utility of Hand-crafted Features in Sequence Labeling. EMNLP (2018)
Xin-Lin Huang, Jun Wu, Wenfeng Li, Zhifeng Zhang, Fusheng Zhu, Minghao Wu
Historical Spectrum Sensing Data Mining for Cognitive Radio Enabled Vehicular Ad-Hoc Networks. IEEE Trans. Dependable Secur. Comput. 13 (1) (2016)
Huaqiang Wu, Xinyi Li, Yue Bai, Ye Zhang, Minghao Wu, Zhiping Yu, He Qian
Stack engineering for ReRAM devices performance improvement. ISCAS (2014)
Howard C. Elman, Minghao Wu
Lyapunov Inverse Iteration for Computing a Few Rightmost Eigenvalues of Large Generalized Eigenvalue Problems. SIAM J. Matrix Anal. Appl. 34 (4) (2013)
Howard C. Elman, Karl Meerbergen, Alastair Spence, Minghao Wu
Lyapunov Inverse Iteration for Identifying Hopf Bifurcations in Models of Incompressible Flow. SIAM J. Sci. Comput. 34 (3) (2012)