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2020 – today
- 2025
[c4]Gaotang Li, Yuzhong Chen, Hanghang Tong:
Taming Knowledge Conflicts in Language Models. ICML 2025- [c3]Gaotang Li
, Danai Koutra, Yujun Yan:
Tackling Size Generalization of Graph Neural Networks on Biological Data from a Spectral Perspective. KDD (2) 2025: 1341-1352 - [i11]Gaotang Li, Yuzhong Chen, Hanghang Tong:
Taming Knowledge Conflicts in Language Models. CoRR abs/2503.10996 (2025) - [i10]Xiusi Chen, Gaotang Li, Ziqi Wang, Bowen Jin, Cheng Qian, Yu Wang, Hongru Wang, Yu Zhang, Denghui Zhang, Tong Zhang, Hanghang Tong, Heng Ji:
RM-R1: Reward Modeling as Reasoning. CoRR abs/2505.02387 (2025) - [i9]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:
MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models. CoRR abs/2505.14728 (2025) - [i8]Ruizhong Qiu, Gaotang Li, Tianxin Wei, Jingrui He, Hanghang Tong:
Saffron-1: Towards an Inference Scaling Paradigm for LLM Safety Assurance. CoRR abs/2506.06444 (2025) - [i7]Ruizhong Qiu, Ting-Wei Li, Gaotang Li, Hanghang Tong:
Graph Homophily Booster: Rethinking the Role of Discrete Features on Heterophilic Graphs. CoRR abs/2509.12530 (2025) - [i6]Gaotang Li, Ruizhong Qiu, Xiusi Chen, Heng Ji, Hanghang Tong:
Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum. CoRR abs/2510.00526 (2025) - [i5]Jiarui Liu, Kaustubh D. Dhole, Yingheng Wang, Haoyang Wen, Sarah Zhang, Haitao Mao, Gaotang Li, Neeraj Varshney, Jingguo Liu, Xiaoman Pan:
Stabilizing Reinforcement Learning for Honesty Alignment in Language Models on Deductive Reasoning. CoRR abs/2511.09222 (2025) - 2024
- [j1]Gaotang Li, Jiarui Liu, Wei Hu:
Bias Amplification Enhances Minority Group Performance. Trans. Mach. Learn. Res. 2024 (2024) - [c2]Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra:
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks. NeurIPS 2024 - [i4]Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra:
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks. CoRR abs/2409.17475 (2024) - 2023
- [c1]Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan:
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. KDD 2023: 1223-1234 - [i3]Yujun Yan, Gaotang Li, Danai Koutra:
Size Generalizability of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective. CoRR abs/2305.15611 (2023) - [i2]Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan:
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. CoRR abs/2306.14375 (2023) - [i1]Gaotang Li, Jiarui Liu, Wei Hu:
Bias Amplification Enhances Minority Group Performance. CoRR abs/2309.06717 (2023)
Coauthor Index
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