About Me

I’m a second-year Ph.D. candidate in Computer Science at University of Illinois Urbana-Champaign, working under the supervision of Hanghang Tong. Prior to this, I earned my bachelor’s degree from the University of Michigan. My current research interests focus on advancing the reasoning capabilities of foundation models.

Email: gaotang3 [at] illinois [dot] edu

You can call me as Oliver. If you would like to chat with me about anything (e.g. research, internship opportunities, grad school application, mentorship etc.), feel free to fill out this form.

Papers

(* denotes equal contribution)

2025

• Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum
  Gaotang Li*, Ruizhong Qiu*, Xiusi Chen*, Heng Ji, Hanghang Tong
  Manuscript 2025
  [PDF] [Code] [Tweet]
  

• RM-R1: Reward Modeling as Reasoning
  Xiusi Chen*, Gaotang Li*, Ziqi Wang*, Bowen Jin, Cheng Qian, Yu Wang, Hongru Wang, Yu Zhang, Denghui Zhang, Tong Zhang, Hanghang Tong, Heng Ji
  Manuscript 2025
  [PDF] [Code] [HuggingFace] [Project Page] [Tweet]
  

• Taming Knowledge Conflicts in Language Models
  Gaotang Li, Yuzhong Chen, Hanghang Tong
  ICML 2025 (spotlight)
  [PDF] [Code] [HuggingFace] [Project Page] [Tweet]
  

• Latent Collaboration in Multi-Agent Systems
  Jiaru Zou*, Xiyuan Yang*, Ruizhong Qiu, Gaotang Li, Katherine Tieu, Pan Lu, Ke Shen, Hanghang Tong, Yejin Choi, Jingrui He, James Zou, Mengdi Wang, Ling Yang
  Manuscript 2025
  [PDF] [Code] [Tweet]
  

• Efficient Inference Scaling for Safety Assurance
  Ruizhong Qiu*, Gaotang Li*, Ting-Wei Li*, Tianxin Wei, Jingrui He, Hanghang Tong
  NeurIPS Workshop on Vision–Language Model Real-World Deployment, 2025
  [PDF] [Code] [Project Page] [Tweet]
  

• Toward Honest Language Models for Deductive Reasoning
  Jiarui Liu, Kaustubh Dhole, Yingheng Wang, Haoyang Wen, Sarah Zhang, Haitao Mao, Gaotang Li, Neeraj Varshney, Jingguo Liu, Xiaoman Pan
  Manuscript 2025
  [PDF]
  

• MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models
  Xiao Lin*, Zhining Liu*, Ze Yang*, Gaotang Li, Ruizhong Qiu, Shuke Wang, Hui Liu, Haotian Li, Sumit Keswani, Vishwa Pardeshi, Huijun Zhao, Wei Fan, Hanghang Tong
  Manuscript 2025
  [PDF] [HuggingFace]
  

• Graph Homophily Booster: Rethinking the Role of Discrete Features on Heterophilic Graphs
  Ruizhong Qiu*, Ting-Wei Li*, Gaotang Li, Hanghang Tong
  Manuscript 2025
  [PDF]
  

Before Ph.D.

• On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks
  Jiong Zhu*, Gaotang Li*, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra
  NeurIPS 2024
  [PDF] [Code]
  

• Bias Amplification Enhances Minority Group Performance
  Gaotang Li*, Jiarui Liu*, Wei Hu
  TMLR 2024
  [PDF] [Code]
  

• Tackling Size Generalization of Graph Neural Networks on Biological Data from a Spectral Perspective
  Gaotang Li, Danai Koutra, Yujun Yan
  KDD 2025
  [PDF] [Code]
  

• Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks
  Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan
  KDD 2023
  [PDF] [Code]