My CVAbout Me
Here is Ningyuan Xi (奚宁远).
I am currently an undergraduate student in the School of Computer Science and Engineering at the Beihang University.
If you are interested in any aspect of me, I am always open to discussions and collaborations. Feel free to reach out to me at - xiningyuan [at] buaa.edu.cn
Research Interests
I am actively seeking a PhD position for 2025 Fall admission. If you have any information, please contact me!
- Large Language Model
- Nature Language Processing
- Applied Machine Learning
My current research focuses on how to train a smarter LLM . My interests a
Selected Publications
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents 🔥🔥 [Preprint]
Zhiyong Wu*, Zhenyu Wu*, Fangzhi Xu*, Yian Wang*, Qiushi Sun, Chengyou Jia, Kanzhi Cheng, Zichen Ding, Liheng
Chen, Paul Pu Liang, Yu Qiao
(* means equal contributions)
Interative Evolution: A Neural-symbolic Self-Training Framework for Large Language Models 🔥🔥 [Preprint]
Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, Jun Liu, Yu Qiao, Zhiyong Wu.
Symbol-LLM: Towards Foundational Symbol-centric Interface
For Large Language Models [CCF-A]
Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Qiao Yu and Jun Liu.
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering [CCF-A]
Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond
Under Review at IEEE TKDE [CCF-A]
Fangzhi Xu*, Qika Lin*, Jiawei Han, Tianzhe Zhao, Jun Liu and Erik Cambria
(* means equal contributions)
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning [CCF-A]
Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan and Lingling Zhang