Du, Mingzhe

9 publications

NeurIPS 2025 Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization Mingzhe Du, Anh Tuan Luu, Yue Liu, Yuhao Qing, Dong Huang, Xinyi He, Qian Liu, Zejun Ma, See-Kiong Ng

NeurIPS 2025 EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code Yuhao Qing, Boyu Zhu, Mingzhe Du, Zhijiang Guo, Terry Yue Zhuo, Qianru Zhang, Jie M. Zhang, Heming Cui, Siu Ming Yiu, Dong Huang, See-Kiong Ng, Anh Tuan Luu

NeurIPS 2025 GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning Yue Liu, Shengfang Zhai, Mingzhe Du, Yulin Chen, Tri Cao, Hongcheng Gao, Cheng Wang, Xinfeng Li, Kun Wang, Junfeng Fang, Jiaheng Zhang, Bryan Hooi

ICML 2025 Position: Current Model Licensing Practices Are Dragging Us into a Quagmire of Legal Noncompliance Moming Duan, Mingzhe Du, Rui Zhao, Mengying Wang, Yinghui Wu, Nigel Shadbolt, Bingsheng He

AAAI 2025 Towards Verifiable Text Generation with Generative Agent Bin Ji, Huijun Liu, Mingzhe Du, Shasha Li, Xiaodong Liu, Jun Ma, Jie Yu, See-Kiong Ng

AAAI 2024 Chain-of-Thought Improves Text Generation with Citations in Large Language Models Bin Ji, Huijun Liu, Mingzhe Du, See-Kiong Ng

AAAI 2024 From Static to Dynamic: Knowledge Metabolism for Large Language Models Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng

NeurIPS 2024 Mercury: A Code Efficiency Benchmark for Code Large Language Models Mingzhe Du, Luu Anh Tuan, Bin Ji, Qian Liu, See-Kiong Ng

AAAI 2023 Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng