Gaotang Li

According to our database, Gaotang Li authored at least 19 papers between 2023 and 2026.

Collaborative distances:

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

2026

Code as Agent Harness.

Xuying Ning, Katherine Tieu, Dongqi Fu, Tianxin Wei, Zihao Li, Yuanchen Bei, Jiaru Zou, Mengting Ai, Zhining Liu, Ting-Wei Li, Lingjie Chen, Yanjun Zhao, Ke Yang, Bingxuan Li, Cheng Qian, Gaotang Li, Xiao Lin, Zhichen Zeng, Ruizhong Qiu, Sirui Chen, Yifan Sun, Xiyuan Yang, Ruida Wang, Rui Pan, Chenyuan Yang, Dylan Zhang, Liri Fang, Zikun Cui, Yang Cao, Pan Chen, Dorothy Sun, Ren Chen, Mahesh Srinivasan, Nipun Mathur, Yinglong Xia, Hong Li, Hong Yan, Pan Lu, Lingming Zhang, Tong Zhang, Hanghang Tong, Jingrui He

CoRR, May, 2026

RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards.

Gaotang Li, Bhavana Dalvi Mishra, Zifeng Wang, Jun Yan, Yanfei Chen, Chun-Liang Li, Long T. Le, Rujun Han, George Lee, Hanghang Tong, Chen-Yu Lee, Tomas Pfister

CoRR, May, 2026

Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learning.

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

CoRR, February, 2026

Do VLMs Have a Moral Backbone? A Study on the Fragile Morality of Vision-Language Models.

Zhining Liu, Tianyi Wang, Xiao Lin, Penghao Ouyang, Gaotang Li, Ze Yang, Hui Liu, Sumit Keswani, Vishwa Pardeshi, Huijun Zhao, Wei Fan, Hanghang Tong

CoRR, January, 2026

Agentic Reasoning for Large Language Models.

Tianxin Wei, Ting-Wei Li, Zhining Liu, Xuying Ning, Ze Yang, Jiaru Zou, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Dongqi Fu, Zihao Li, Mengting Ai, Duo Zhou, Wenxuan Bao, Yunzhe Li, Gaotang Li, Cheng Qian, Yu Wang, Xiangru Tang, Yin Xiao, Liri Fang, Hui Liu, Xianfeng Tang, Yuji Zhang, Chi Wang, Jiaxuan You, Heng Ji, Hanghang Tong, Jingrui He

CoRR, January, 2026

ALERT: Zero-shot LLM Jailbreak Detection via Internal Discrepancy Amplification.

Xiao Lin, Philip Li, Zhichen Zeng, Tingwei Li, Tianxin Wei, Xuying Ning, Gaotang Li, Yuzhong Chen, Hanghang Tong

CoRR, January, 2026

2025

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

CoRR, November, 2025

Stabilizing Reinforcement Learning for Honesty Alignment in Language Models on Deductive Reasoning.

Jiarui Liu, Kaustubh D. Dhole, Yingheng Wang, Haoyang Wen, Sarah Zhang, Haitao Mao, Gaotang Li, Neeraj Varshney, Jingguo Liu, Xiaoman Pan

CoRR, November, 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

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

Taming Knowledge Conflicts in Language Models.

Gaotang Li, Yuzhong Chen, Hanghang Tong

Proceedings of the Forty-second International Conference on Machine Learning, 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 37: 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