About Me
I am Haoming Xu, a Master’s student in the College of Software at Zhejiang University, focusing on large language models and natural language processing.
My research interests center on editing, unlearning and continual learning for large language models. I work on developing methods to remove specific knowledge from LLMs while preserving performance, as well as exploring how models can learn continuously and achieve evolution. I also maintain an active interest in model reliability, hallucination mitigation, and broader topics in AI safety and robustness.
I am seeking collaboration peers with same research insterests.
If you are interested in my work, please contact me at haomingxu2003@gmail.com.
📝 Publications
You can find my publications on Google Scholar.
2026
Haoming Xu, Ningyuan Zhao, Yunzhi Yao, Weihong Xu, Hongru Wang, Xinle Deng, Shumin Deng, Jeff Z. Pan, Huajun Chen, Ningyu Zhang
We propose a novel framework for diagnosing LLM truthfulness via neighborhood consistency analysis.
2025
Yunzhi Yao, Jiaxin Qin, Ningyu Zhang, Haoming Xu, Yuqi Zhu, Zeping Yu, Mengru Wang, Yuqi Tang, Jia-Chen Gu, Shumin Deng, Nanyun Peng, Huajun Chen
Revisiting knowledge editing methods for large language models in the reasoning era.
Jizhan Fang, Xinle Deng, Haoming Xu, Ziyan Jiang, Yuqi Tang, Ziwen Xu, Shumin Deng, Yunzhi Yao, Mengru Wang, Shuofei Qiao, Huajun Chen, Ningyu Zhang
A lightweight and efficient memory-augmented generation framework for large language models.
Ziwen Xu, Shuxun Wang, Kewei Xu, Haoming Xu, Mengru Wang, Xinle Deng, Yunzhi Yao, Guozhou Zheng, Huajun Chen, Ningyu Zhang
An easy-to-use steering framework for editing large language models with improved performance.
Haoming Xu, Shuxun Wang, Yanqiu Zhao, Yi Zhong, Ziyan Jiang, Ningyuan Zhao, Shumin Deng, Huajun Chen, Ningyu Zhang
We propose an unlearning approach via model merging for SemEval-2025 Task 4. We achieved an excellent second-place finish.
Haoming Xu, Ningyuan Zhao, Liming Yang, Sendong Zhao, Shumin Deng, Mengru Wang, Bryan Hooi, Nay Oo, Huajun Chen, Ningyu Zhang
A novel framework for machine unlearning in large language models through a learning-based approach.
2024
Chenxi Wang, Xiang Chen, Ningyu Zhang, Bozhong Tian, Haoming Xu, Shumin Deng, Huajun Chen
A dynamic correction decoding strategy for multimodal large language models to mitigate hallucinations.
Zijian Li, Sendong Zhao, Haochun Wang, Haoming Xu, Bing Qin, Ting Liu
A comprehensive benchmark for Chinese medical complex open-question answering systems.
2023
Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Nuwa Xi, Yanrui Du, MuZhen Cai, Haoqiang Guo, Yuhan Chen, Haoming Xu, Bing Qin, Ting Liu
Integrating structured medical knowledge bases to improve reliable response generation in Chinese medical QA systems.
🚀 Projects
An easy-to-use steering framework for large language models with improved editing capabilities and user experience.
An easy-to-use knowledge editing framework for large language models. Supports multiple editing methods including ROME, MEMIT, MEND, and more.
Lightweight and efficient memory-augmented generation framework for large language models.
📖 Education
Master of Software Engineering
Zhejiang University, 2025 - present
Bachelor of Computer Science
Harbin Institute of Technology, 2021 - 2025
💻 Internship Experience
