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)

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)

Stack engineering for ReRAM devices performance improvement. - Huaqiang Wu; Xinyi Li; Yue Bai; Ye Zhang; Minghao Wu; Zhiping Yu; He Qian (ISCAS, 2014)

Historical Spectrum Sensing Data Mining for Cognitive Radio Enabled Vehicular Ad-Hoc Networks. - Xin-Lin Huang; Jun Wu 006; Wenfeng Li; Zhifeng Zhang 001; Fusheng Zhu; Minghao Wu (IEEE Trans. Dependable Secur. Comput., 2016)

Evaluating the Utility of Hand-crafted Features in Sequence Labeling. - Minghao Wu; Fei Liu 023; Trevor Cohn (EMNLP, 2018)

Evaluating the Utility of Hand-crafted Features in Sequence Labelling. - Minghao Wu; Fei Liu 023; Trevor Cohn (CoRR, 2018)

Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training. - Minghao Wu; Yitong Li; Meng Zhang 019; Liangyou Li; Gholamreza Haffari; Qun Liu 001 (EMNLP (1), 2021)

Fake News Detection by Using Common Latent Semantics Matching Method. - Zhi Zeng; Linyun Ye; Ruigang Liu; Ziwen Cui; Minghao Wu; Ying Sha (ICTAI, 2021)

NoahNMT at WMT 2021: Dual Transfer for Very Low Resource Supervised Machine Translation. - Meng Zhang 019; Minghao Wu; Pengfei Li; Liangyou Li; Qun Liu 001 (WMT@EMNLP, 2021)

Universal Conditional Masked Language Pre-training for Neural Machine Translation. - Pengfei Li; Liangyou Li; Meng Zhang 019; Minghao Wu; Qun Liu 001 (ACL (1), 2022)

Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation. - Minghao Wu; George F. Foster; Lizhen Qu; Gholamreza Haffari (EACL, 2023)

Bactrian-X : A Multilingual Replicable Instruction-Following Model with Low-Rank Adaptation. - Haonan Li 002; Fajri Koto; Minghao Wu; Alham Fikri Aji; Timothy Baldwin (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 001; Zhaopeng Tu (CoRR, 2023)

Understanding the Instruction Mixture for Large Language Model Fine-tuning. - Renxi Wang; Minghao Wu; Yuxia Wang; Xudong Han; Chiyu Zhang; Haonan Li 002 (CoRR, 2023)

Demystifying Instruction Mixing for Fine-tuning Large Language Models. - Renxi Wang; Haonan Li 002; Minghao Wu; Yuxia Wang; Xudong Han; Chiyu Zhang; Timothy Baldwin (ACL (Student Research Workshop), 2024)

A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models. - Chenyang Lyu; Zefeng Du; Jitao Xu 003; Yitao Duan; Minghao Wu; Teresa Lynn; Alham Fikri Aji; Derek F. Wong; Longyue Wang (LREC/COLING, 2024)

Importance-Aware Data Augmentation for Document-Level Neural Machine Translation. - Minghao Wu; Yufei Wang 003; George F. Foster; Lizhen Qu; Gholamreza Haffari (EACL (1), 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 (EACL (1), 2024)

Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue. - Huifang Du; Shuqin Li; Minghao Wu; Xuejing Feng; Yuan-Fang Li; Haofen Wang (EMNLP (Findings), 2024)

Re-Evaluating Evaluation for Multilingual Summarization. - Jessica Forde; Ruochen Zhang; Lintang Sutawika; Alham Fikri Aji; Samuel Cahyawijaya; Genta Indra Winata; Minghao Wu; Carsten Eickhoff; Stella Biderman; Ellie Pavlick (EMNLP, 2024)

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. - Minghao Wu; Thuy-Trang Vu; Lizhen Qu; Reza Haf (EMNLP, 2024)

GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation. - Zhanyu Wang; Longyue Wang; Zhen Zhao 001; Minghao Wu; Chenyang Lyu; Huayang Li; Deng Cai 002; Luping Zhou; Shuming Shi 001; Zhaopeng Tu (ACM Multimedia, 2024)

EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations. - Chiyu Zhang; Yifei Sun; Minghao Wu; Jun Chen; Jie Lei; Muhammad Abdul-Mageed; Rong Jin 001; Angli Liu; Ji Zhu; Sem Park; Ning Yao; Bo Long (RecSys, 2024)

Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation. - Longyue Wang; Siyou Liu; Chenyang Lyu; Wenxiang Jiao; Xing Wang 007; Jiahao Xu; Zhaopeng Tu; Yan Gu; Weiyu Chen; Minghao Wu; Liting Zhou; Philipp Koehn; et al. (WMT, 2024)

Adapting Large Language Models for Document-Level Machine Translation. - Minghao Wu; Thuy-Trang Vu; Lizhen Qu; George F. Foster; Gholamreza Haffari (CoRR, 2024)

Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models. - Chenyang Lyu; Minghao Wu; Alham Fikri Aji (CoRR, 2024)

(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts. - Minghao Wu; Yulin Yuan; Gholamreza Haffari; Longyue Wang (CoRR, 2024)

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. - Minghao Wu; Thuy-Trang Vu; Lizhen Qu; Gholamreza Haffari (CoRR, 2024)

The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph. - Minghao Wu; Thuy-Trang Vu; Lizhen Qu; Gholamreza Haffari (CoRR, 2024)

Artificial intelligence-empowered assessment of bile duct stone removal challenges. - Zheng Wang 047; Hao Yuan; Kaibin Lin; Yu Zhang; Yang Xue; Peng Liu; Zhiyuan Chen; Minghao Wu (Expert Syst. Appl., 2024)

Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention. - Weixuan Wang; Minghao Wu; Barry Haddow; Alexandra Birch (ACL (1), 2025)

Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models. - Huifeng Yin; Yu Zhao; Minghao Wu; Xuanfan Ni; Bo Zeng; Hao Wang; Tianqi Shi; Liangying Shao; Chenyang Lyu; Longyue Wang; Weihua Luo; Kaifu Zhang (ACL (1), 2025)

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language. - Bo Zeng; Chenyang Lyu; Sinuo Liu; Mingyan Zeng; Minghao Wu; Xuanfan Ni; Tianqi Shi; Yu Zhao; Yefeng Liu; Chenyu Zhu; Ruizhe Li; Jiahui Geng; et al. (ACL (1), 2025)

Style Over Substance: Evaluation Biases for Large Language Models. - Minghao Wu; Alham Fikri Aji (COLING, 2025)

Accurate measurement of key structures in CBD patients using deep learning. - Zheng Wang 047; Kaibin Lin; Mingcai Zheng; Lingqi Gong; Zhiyuan Chen; Minghao Wu (Biomed. Signal Process. Control., 2025)

(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts. - Minghao Wu; Jiahao Xu; Yulin Yuan; Gholamreza Haffari; Longyue Wang; Weihua Luo; Kaifu Zhang (Trans. Assoc. Comput. Linguistics, 2025)

TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets. - Yuzhe Yang 002; Yifei Zhang; Minghao Wu; Kaidi Zhang; Yunmiao Zhang; Honghai Yu; Yan Hu; Benyou Wang (CoRR, 2025)

Demystifying Multilingual Chain-of-Thought in Process Reward Modeling. - Weixuan Wang; Minghao Wu; Barry Haddow; Alexandra Birch (CoRR, 2025)

Towards Widening The Distillation Bottleneck for Reasoning Models. - Huifeng Yin; Yu Zhao; Minghao Wu; Xuanfan Ni; Bo Zeng; Hao Wang; Tianqi Shi; Liangying Shao; Chenyang Lyu; Longyue Wang; Weihua Luo; Kaifu Zhang (CoRR, 2025)

New Trends for Modern Machine Translation with Large Reasoning Models. - Sinuo Liu; Chenyang Lyu; Minghao Wu; Longyue Wang; Weihua Luo; Kaifu Zhang; Zifu Shang (CoRR, 2025)

The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks. - Minghao Wu; Weixuan Wang; Sinuo Liu; Huifeng Yin; Xintong Wang 001; Yu Zhao; Chenyang Lyu; Longyue Wang; Weihua Luo; Kaifu Zhang (CoRR, 2025)

HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models. - Weixuan Wang; Minghao Wu; Barry Haddow; Alexandra Birch (CoRR, 2025)

ExpertSteer: Intervening in LLMs through Expert Knowledge. - Weixuan Wang; Minghao Wu; Barry Haddow; Alexandra Birch (CoRR, 2025)

TransBench: Benchmarking Machine Translation for Industrial-Scale Applications. - Haijun Li; Tianqi Shi; Zifu Shang; Yuxuan Han; Xueyu Zhao; Hao Wang; Yu Qian; Zhiqiang Qian; Linlong Xu; Minghao Wu; Chenyang Lyu; Longyue Wang; et al. (CoRR, 2025)

Rethinking Multilingual Vision-Language Translation: Dataset, Evaluation, and Adaptation. - Xintong Wang 001; Jingheng Pan; Yixiao Liu; Xiaohu Zhao; Chenyang Lyu; Minghao Wu; Chris Biemann; Longyue Wang; Linlong Xu; Weihua Luo; Kaifu Zhang (CoRR, 2025)

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models. - Bo Zeng; Chenyang Lyu; Sinuo Liu; Mingyan Zeng; Minghao Wu; Xuanfan Ni; Tianqi Shi; Yu Zhao; Yefeng Liu; Chenyu Zhu; Ruizhe Li; Jiahui Geng; et al. (CoRR, 2025)

Towards Assessing Medical Ethics from Knowledge to Practice. - Chang Hong; Minghao Wu; Qingying Xiao; Yuchi Wang; Xiang Wan; Guangjun Yu; Benyou Wang; Yan Hu (CoRR, 2025)