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Minghao Wu
Publication Activity (10 Years)
Years Active: 2012-2024
Publications (10 Years): 27
Top Topics
Language Model
Paradigm Shift
Cross Lingual
Spectrum Sensing
Top Venues
CoRR
EACL (1)
EMNLP
EACL
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Publications
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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)