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Minghao Wu
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2020 – today
- 2025
- [j5]Zheng Wang, Kaibin Lin, Mingcai Zheng, Lingqi Gong, Zhiyuan Chen, Minghao Wu:
Accurate measurement of key structures in CBD patients using deep learning. Biomed. Signal Process. Control. 100: 106979 (2025) - 2024
- [j4]Zheng Wang
, Hao Yuan, Kaibin Lin, Yu Zhang, Yang Xue, Peng Liu, Zhiyuan Chen, Minghao Wu
Artificial intelligence-empowered assessment of bile duct stone removal challenges. Expert Syst. Appl. 258: 125146 (2024) - [c17]Renxi Wang, Haonan Li, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Timothy Baldwin:
Demystifying Instruction Mixing for Fine-tuning Large Language Models. ACL (Student Research Workshop) 2024: 162-169 - [c16]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: 1339-1352 - [c15]Minghao Wu, Yufei Wang, George F. Foster, Lizhen Qu, Gholamreza Haffari:
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation. EACL (1) 2024: 740-752 - [c14]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: 944-964 - [c13]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. EMNLP (Findings) 2024: 8030-8046 - [c12]Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Reza Haf:
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. EMNLP 2024: 14226-14240 - [c11]Jessica Forde, Ruochen Zhang, Lintang Sutawika, Alham Fikri Aji, Samuel Cahyawijaya, Genta Indra Winata, Minghao Wu, Carsten Eickhoff, Stella Biderman, Ellie Pavlick:
Re-Evaluating Evaluation for Multilingual Summarization. EMNLP 2024: 19476-19493 - [c10]Zhanyu Wang
GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation. ACM Multimedia 2024: 3907-3916 - [c9]Chiyu Zhang
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations. RecSys 2024: 1010-1015 - [c8]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:
Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation. WMT 2024: 699-700 - [i19]Minghao Wu, Thuy-Trang Vu
Adapting Large Language Models for Document-Level Machine Translation. CoRR abs/2401.06468 (2024) - [i18]Minghao Wu, Yufei Wang, George F. Foster, Lizhen Qu, Gholamreza Haffari:
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation. CoRR abs/2401.15360 (2024) - [i17]Chenyang Lyu, Minghao Wu, Alham Fikri Aji:
Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models. CoRR abs/2402.13887 (2024) - [i16]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 abs/2405.11441 (2024) - [i15]Minghao Wu, Yulin Yuan, Gholamreza Haffari, Longyue Wang:
(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts. CoRR abs/2405.11804 (2024) - [i14]Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari:
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. CoRR abs/2406.08811 (2024) - [i13]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 abs/2406.14457 (2024) - [i12]Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari:
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph. CoRR abs/2410.12458 (2024) - [i11]Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch:
Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention. CoRR abs/2410.12462 (2024) - 2023
- [c7]Minghao Wu, George F. Foster, Lizhen Qu, Gholamreza Haffari:
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation. EACL 2023: 448-462 - [i10]Minghao Wu, George F. Foster, Lizhen Qu, Gholamreza Haffari:
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation. CoRR abs/2302.08079 (2023) - [i9]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 abs/2304.14402 (2023) - [i8]Haonan Li, Fajri Koto, Minghao Wu, Alham Fikri Aji, Timothy Baldwin:
Bactrian-X : A Multilingual Replicable Instruction-Following Model with Low-Rank Adaptation. CoRR abs/2305.15011 (2023) - [i7]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 abs/2306.09093 (2023) - [i6]Minghao Wu, Alham Fikri Aji:
Style Over Substance: Evaluation Biases for Large Language Models. CoRR abs/2307.03025 (2023) - [i5]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 abs/2311.16511 (2023) - [i4]Renxi Wang, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Haonan Li:
Understanding the Instruction Mixture for Large Language Model Fine-tuning. CoRR abs/2312.10793 (2023) - 2022
- [c6]Pengfei Li, Liangyou Li, Meng Zhang, Minghao Wu, Qun Liu:
Universal Conditional Masked Language Pre-training for Neural Machine Translation. ACL (1) 2022: 6379-6391 - [i3]Pengfei Li, Liangyou Li, Meng Zhang, Minghao Wu, Qun Liu:
Universal Conditional Masked Language Pre-training for Neural Machine Translation. CoRR abs/2203.09210 (2022) - 2021
- [c5]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: 7291-7305 - [c4]Zhi Zeng
Fake News Detection by Using Common Latent Semantics Matching Method. ICTAI 2021: 1059-1066 - [c3]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: 1009-1013 - [i2]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 abs/2109.02284 (2021)
2010 – 2019
- 2018
- [c2]Minghao Wu, Fei Liu, Trevor Cohn:
Evaluating the Utility of Hand-crafted Features in Sequence Labeling. EMNLP 2018: 2850-2856 - [i1]Minghao Wu, Fei Liu, Trevor Cohn:
Evaluating the Utility of Hand-crafted Features in Sequence Labelling. CoRR abs/1808.09075 (2018) - 2016
- [j3]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): 59-70 (2016) - 2014
- [c1]Huaqiang Wu, Xinyi Li, Yue Bai, Ye Zhang, Minghao Wu, Zhiping Yu, He Qian:
Stack engineering for ReRAM devices performance improvement. ISCAS 2014: 846-849 - 2013
- [j2]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): 1685-1707 (2013) - 2012
- [j1]Howard C. Elman, Karl Meerbergen
Lyapunov Inverse Iteration for Identifying Hopf Bifurcations in Models of Incompressible Flow. SIAM J. Sci. Comput. 34(3) (2012)
Coauthor Index
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