Gaotang Li

According to our database, Gaotang Li authored at least 11 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, October, 2025

Graph Homophily Booster: Rethinking the Role of Discrete Features on Heterophilic Graphs.

Ruizhong Qiu, Ting-Wei Li, Gaotang Li, Hanghang Tong

CoRR, September, 2025

Saffron-1: Towards an Inference Scaling Paradigm for LLM Safety Assurance.

Ruizhong Qiu, Gaotang Li, Tianxin Wei, Jingrui He, Hanghang Tong

CoRR, June, 2025

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

CoRR, May, 2025

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

CoRR, May, 2025

Taming Knowledge Conflicts in Language Models.

Gaotang Li, Yuzhong Chen, Hanghang Tong

CoRR, March, 2025

Tackling Size Generalization of Graph Neural Networks on Biological Data from a Spectral Perspective.

Gaotang Li, Danai Koutra, Yujun Yan

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

Bias Amplification Enhances Minority Group Performance.

Gaotang Li, Jiarui Liu, Wei Hu

Trans. Mach. Learn. Res., 2024

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Size Generalizability of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective.

Yujun Yan, Gaotang Li, Danai Koutra

CoRR, 2023

Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks.

Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023