|
Ziqi Wang (王子奇) I am a Ph.D. student at the University of Illinois Urbana-Champaign, advised by Prof. Heng Ji and Prof. Tong Zhang. My long-term goal is to develop an AI system that pushes the boundaries of human knowledge. I interned at Google, Meta, and Yutori during my Ph.D. study, where I was fortunate to be advised by Dr. Crick Wu, Dr. Le Hou and Rui Wang. Before my Ph.D. study, I obtained a Bachelor's Degree in Computer Science at Tsinghua University, where I was fortunate to work with Prof. Zhiyuan Liu, Prof. Xiaolin Hu, Prof. Minlie Huang, and Prof. Xiang Ren at the University of Southern California. |
|
Selected Publications* denotes equal contribution. |
|
RM-R1: Reward Modeling as Reasoning
Xiusi Chen*, Gaotang Li*, Ziqi Wang*, And other 9 authors. Preprint, 2025 Paper Reward model with thinking improves the rewards accuracy. |
|
Eliminating Position Bias of Language Models: A Mechanistic Approach
Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji ICLR, 2025 Paper / Twitter We propose a method to eliminate the position bias in LMs, which help LMs to better conduct reasoning. |
|
Enabling Language Models to Implicitly Learn Self-Improvement
Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji ICLR, 2024 Paper / Slides / Twitter Teaching models self-improvement with reinforcement learning. |
Education |
 |
University of Illinois Urbana-Champaign
Ph.D. in Computer Science, 2021-2025 Advisor: Prof. Heng Ji and Prof. Tong Zhang |
 |
Tsinghua University
B.E. in Computer Science, 2016-2021 Advisor: Prof. Zhiyuan Liu, Prof. Xiaolin Hu, and Prof. Minlie Huang |
|
The website is adapted from Jon Barron. Last update: Aug, 2025. |