Minghao Wu

67 papers A* 5A 2B 3C 1Journal 42Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Iterative feedback-based time-series anomaly detection with adaptive diffusion models.
Neural Networks
Chunjing Xiao, Xianghe Du, Xueru Song, Yuxia Xue, Minghao Wu, Kevin Chetty
2026 J jnl
MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation.
CoRR
Rongsheng Wang, Minghao Wu, Hongru Zhou, Zhihan Yu, Zhenyang Cai, Junying Chen, Benyou Wang
2026 J jnl
Multi-Shaft Speed-Informed Adaptive Window Filtering Method for Acoustic Pressure Signals in Marine Gas Turbines.
Signal Process.
Xiaoyu Han, Yun-peng Cao, Minghao Wu, Weiying Wang, Weixing Feng
2025 J jnl
(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts.
Trans. Assoc. Comput. Linguistics
Minghao Wu, Jiahao Xu, Yulin Yuan, Gholamreza Haffari, Longyue Wang, Weihua Luo, Kaifu Zhang
2025 J jnl
Accurate measurement of key structures in CBD patients using deep learning.
Biomed. Signal Process. Control.
Zheng Wang, Kaibin Lin, Mingcai Zheng, Lingqi Gong, Zhiyuan Chen, Minghao Wu
2025 — conf
Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention.
ACL (1)
Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch
2025 J jnl
Demystifying Multilingual Chain-of-Thought in Process Reward Modeling.
CoRR
Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch
2025 — conf
Demystifying Multilingual Reasoning in Process Reward Modeling.
EMNLP (Findings)
Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch
2025 J jnl
ExpertSteer: Intervening in LLMs through Expert Knowledge.
CoRR
Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch
2025 J jnl
HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models.
CoRR
Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch
2025 J jnl
Learning to Summarize by Learning to Quiz: Adversarial Agentic Collaboration for Long Document Summarization.
CoRR
Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch
2025 J jnl
Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models.
CoRR
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
2025 — conf
Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language.
ACL (1)
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
2025 — conf
Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models.
ACL (1)
Huifeng Yin, Yu Zhao, Minghao Wu, Xuanfan Ni, Bo Zeng, Hao Wang, Tianqi Shi, Liangying Shao, Chenyang Lyu, Longyue Wang, Weihua Luo, Kaifu Zhang
2025 J jnl
New Trends for Modern Machine Translation with Large Reasoning Models.
CoRR
Sinuo Liu, Chenyang Lyu, Minghao Wu, Longyue Wang, Weihua Luo, Kaifu Zhang, Zifu Shang
2025 B conf
On the Taxonomy, Tasks, and Open-Challenges for Multimodal Large Language Models.
SMC
Lecheng Yan, Ruizhe Li, Jiahui Geng, Qing Li, Minghao Wu, Zhanyu Wang, Wenxi Li, Tianbo Ji, Shaochen Jiang, Chenyang Lyu
2025 J jnl
Rethinking Multilingual Vision-Language Translation: Dataset, Evaluation, and Adaptation.
CoRR
Xintong Wang, Jingheng Pan, Yixiao Liu, Xiaohu Zhao, Chenyang Lyu, Minghao Wu, Chris Biemann, Longyue Wang, Linlong Xu, Weihua Luo, Kaifu Zhang
2025 B conf
Style Over Substance: Evaluation Biases for Large Language Models.
COLING
Minghao Wu, Alham Fikri Aji
2025 A* conf
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph.
ICML
Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari
2025 J jnl
The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks.
CoRR
Minghao Wu, Weixuan Wang, Sinuo Liu, Huifeng Yin, Xintong Wang, Yu Zhao, Chenyang Lyu, Longyue Wang, Weihua Luo, Kaifu Zhang
2025 J jnl
Towards Assessing Medical Ethics from Knowledge to Practice.
CoRR
Chang Hong, Minghao Wu, Qingying Xiao, Yuchi Wang, Xiang Wan, Guangjun Yu, Benyou Wang, Yan Hu
2025 J jnl
Towards Widening The Distillation Bottleneck for Reasoning Models.
CoRR
Huifeng Yin, Yu Zhao, Minghao Wu, Xuanfan Ni, Bo Zeng, Hao Wang, Tianqi Shi, Liangying Shao, Chenyang Lyu, Longyue Wang, Weihua Luo, Kaifu Zhang
2025 J jnl
TransBench: Benchmarking Machine Translation for Industrial-Scale Applications.
CoRR
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
2025 J jnl
TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets.
CoRR
Yuzhe Yang, Yifei Zhang, Minghao Wu, Kaidi Zhang, Yunmiao Zhang, Honghai Yu, Yan Hu, Benyou Wang
2025 J jnl
Two-Bit RIS-Aided NLOS DOA Based on Fast Zoomed SBL.
IEEE Trans. Aerosp. Electron. Syst.
Minghao Wu, Yuanyuan Wang, Fengzhou Dai
2024 J jnl
(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts.
CoRR
Minghao Wu, Yulin Yuan, Gholamreza Haffari, Longyue Wang
2024 — conf
A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models.
LREC/COLING
Chenyang Lyu, Zefeng Du, Jitao Xu, Yitao Duan, Minghao Wu, Teresa Lynn, Alham Fikri Aji, Derek F. Wong, Longyue Wang
2024 J jnl
Adapting Large Language Models for Document-Level Machine Translation.
CoRR
Minghao Wu, Thuy-Trang Vu, Lizhen Qu, George F. Foster, Gholamreza Haffari
2024 J jnl
Artificial intelligence-empowered assessment of bile duct stone removal challenges.
Expert Syst. Appl.
Zheng Wang, Hao Yuan, Kaibin Lin, Yu Zhang, Yang Xue, Peng Liu, Zhiyuan Chen, Minghao Wu
2024 J jnl
Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models.
CoRR
Chenyang Lyu, Minghao Wu, Alham Fikri Aji
2024 J jnl
Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention.
CoRR
Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch
2024 — conf
Demystifying Instruction Mixing for Fine-tuning Large Language Models.
ACL (Student Research Workshop)
Renxi Wang, Haonan Li, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Timothy Baldwin
2024 A conf
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations.
RecSys
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
2024 J jnl
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations.
CoRR
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
2024 — conf
Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation.
WMT
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
2024 J jnl
Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation.
CoRR
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
2024 A* conf
GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation.
ACM Multimedia
Zhanyu Wang, Longyue Wang, Zhen Zhao, Minghao Wu, Chenyang Lyu, Huayang Li, Deng Cai, Luping Zhou, Shuming Shi, Zhaopeng Tu
2024 — conf
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation.
EACL (1)
Minghao Wu, Yufei Wang, George F. Foster, Lizhen Qu, Gholamreza Haffari
2024 J jnl
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation.
CoRR
Minghao Wu, Yufei Wang, George F. Foster, Lizhen Qu, Gholamreza Haffari
2024 — conf
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions.
EACL (1)
Minghao Wu, Abdul Waheed, Chiyu Zhang, Muhammad Abdul-Mageed, Alham Fikri Aji
2024 A* conf
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models.
EMNLP
Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Reza Haf
2024 J jnl
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models.
CoRR
Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari
2024 A* conf
Re-Evaluating Evaluation for Multilingual Summarization.
EMNLP
Jessica Forde, Ruochen Zhang, Lintang Sutawika, Alham Fikri Aji, Samuel Cahyawijaya, Genta Indra Winata, Minghao Wu, Carsten Eickhoff, Stella Biderman, Ellie Pavlick
2024 — conf
Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue.
EMNLP (Findings)
Huifang Du, Shuqin Li, Minghao Wu, Xuejing Feng, Yuan-Fang Li, Haofen Wang
2024 J jnl
Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue.
CoRR
Huifang Du, Shuqin Li, Minghao Wu, Xuejing Feng, Yuan-Fang Li, Haofen Wang
2024 J jnl
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph.
CoRR
Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari
2024 — conf
TransAgents: Build Your Translation Company with Language Agents.
EMNLP (System Demonstrations)
Minghao Wu, Jiahao Xu, Longyue Wang
2023 J jnl
Bactrian-X : A Multilingual Replicable Instruction-Following Model with Low-Rank Adaptation.
CoRR
Haonan Li, Fajri Koto, Minghao Wu, Alham Fikri Aji, Timothy Baldwin
2023 A conf
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation.
EACL
Minghao Wu, George F. Foster, Lizhen Qu, Gholamreza Haffari
2023 J jnl
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation.
CoRR
Minghao Wu, George F. Foster, Lizhen Qu, Gholamreza Haffari
2023 J jnl
GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation.
CoRR
Zhanyu Wang, Longyue Wang, Zhen Zhao, Minghao Wu, Chenyang Lyu, Huayang Li, Deng Cai, Luping Zhou, Shuming Shi, Zhaopeng Tu
2023 J jnl
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions.
CoRR
Minghao Wu, Abdul Waheed, Chiyu Zhang, Muhammad Abdul-Mageed, Alham Fikri Aji
2023 J jnl
Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration.
CoRR
Chenyang Lyu, Minghao Wu, Longyue Wang, Xinting Huang, Bingshuai Liu, Zefeng Du, Shuming Shi, Zhaopeng Tu
2023 J jnl
Style Over Substance: Evaluation Biases for Large Language Models.
CoRR
Minghao Wu, Alham Fikri Aji
2023 J jnl
Understanding the Instruction Mixture for Large Language Model Fine-tuning.
CoRR
Renxi Wang, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Haonan Li
2022 — conf
Universal Conditional Masked Language Pre-training for Neural Machine Translation.
ACL (1)
Pengfei Li, Liangyou Li, Meng Zhang, Minghao Wu, Qun Liu
2022 J jnl
Universal Conditional Masked Language Pre-training for Neural Machine Translation.
CoRR
Pengfei Li, Liangyou Li, Meng Zhang, Minghao Wu, Qun Liu
2021 B conf
Fake News Detection by Using Common Latent Semantics Matching Method.
ICTAI
Zhi Zeng, Linyun Ye, Ruigang Liu, Ziwen Cui, Minghao Wu, Ying Sha
2021 — conf
NoahNMT at WMT 2021: Dual Transfer for Very Low Resource Supervised Machine Translation.
WMT@EMNLP
Meng Zhang, Minghao Wu, Pengfei Li, Liangyou Li, Qun Liu
2021 — conf
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training.
EMNLP (1)
Minghao Wu, Yitong Li, Meng Zhang, Liangyou Li, Gholamreza Haffari, Qun Liu
2021 J jnl
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training.
CoRR
Minghao Wu, Yitong Li, Meng Zhang, Liangyou Li, Gholamreza Haffari, Qun Liu
2018 A* conf
Evaluating the Utility of Hand-crafted Features in Sequence Labeling.
EMNLP
Minghao Wu, Fei Liu, Trevor Cohn
2018 J jnl
Evaluating the Utility of Hand-crafted Features in Sequence Labelling.
CoRR
Minghao Wu, Fei Liu, Trevor Cohn
2016 J jnl
Historical Spectrum Sensing Data Mining for Cognitive Radio Enabled Vehicular Ad-Hoc Networks.
IEEE Trans. Dependable Secur. Comput.
Xin-Lin Huang, Jun Wu, Wenfeng Li, Zhifeng Zhang, Fusheng Zhu, Minghao Wu
2014 C conf
Stack engineering for ReRAM devices performance improvement.
ISCAS
Huaqiang Wu, Xinyi Li, Yue Bai, Ye Zhang, Minghao Wu, Zhiping Yu, He Qian
2013 J jnl
Lyapunov Inverse Iteration for Computing a Few Rightmost Eigenvalues of Large Generalized Eigenvalue Problems.
SIAM J. Matrix Anal. Appl.
Howard C. Elman, Minghao Wu
2012 J jnl
Lyapunov Inverse Iteration for Identifying Hopf Bifurcations in Models of Incompressible Flow.
SIAM J. Sci. Comput.
Howard C. Elman, Karl Meerbergen, Alastair Spence, Minghao Wu