Gaotang Li - RankMe

21 papers A* 3Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ALERT: Zero-shot LLM Jailbreak Detection via Internal Discrepancy Amplification. CoRR Xiao Lin, Philip Li, Zhichen Zeng, Tingwei Li, Tianxin Wei, Xuying Ning, Gaotang Li, Yuzhong Chen, Hanghang Tong
2026	J	`jnl`	Agentic Reasoning for Large Language Models. CoRR 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
2026	J	`jnl`	Do VLMs Have a Moral Backbone? A Study on the Fragile Morality of Vision-Language Models. CoRR Zhining Liu, Tianyi Wang, Xiao Lin, Penghao Ouyang, Gaotang Li, Ze Yang, Hui Liu, Sumit Keswani, Vishwa Pardeshi, Huijun Zhao, Wei Fan, Hanghang Tong
2026	J	`jnl`	Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learning. CoRR Ruizhong Qiu, Ting-Wei Li, Gaotang Li, Hanghang Tong
2025	J	`jnl`	Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum. CoRR Gaotang Li, Ruizhong Qiu, Xiusi Chen, Heng Ji, Hanghang Tong
2025	J	`jnl`	Graph Homophily Booster: Rethinking the Role of Discrete Features on Heterophilic Graphs. CoRR Ruizhong Qiu, Ting-Wei Li, Gaotang Li, Hanghang Tong
2025	J	`jnl`	Latent Collaboration in Multi-Agent Systems. CoRR 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
2025	J	`jnl`	MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models. CoRR 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
2025	J	`jnl`	RM-R1: Reward Modeling as Reasoning. CoRR Xiusi Chen, Gaotang Li, Ziqi Wang, Bowen Jin, Cheng Qian, Yu Wang, Hongru Wang, Yu Zhang, Denghui Zhang, Tong Zhang, Hanghang Tong, Heng Ji
2025	J	`jnl`	Saffron-1: Towards an Inference Scaling Paradigm for LLM Safety Assurance. CoRR Ruizhong Qiu, Gaotang Li, Tianxin Wei, Jingrui He, Hanghang Tong
2025	J	`jnl`	Stabilizing Reinforcement Learning for Honesty Alignment in Language Models on Deductive Reasoning. CoRR Jiarui Liu, Kaustubh D. Dhole, Yingheng Wang, Haoyang Wen, Sarah Zhang, Haitao Mao, Gaotang Li, Neeraj Varshney, Jingguo Liu, Xiaoman Pan
2025	—	`conf`	Tackling Size Generalization of Graph Neural Networks on Biological Data from a Spectral Perspective. KDD (2) Gaotang Li, Danai Koutra, Yujun Yan
2025	A*	`conf`	Taming Knowledge Conflicts in Language Models. ICML Gaotang Li, Yuzhong Chen, Hanghang Tong
2025	J	`jnl`	Taming Knowledge Conflicts in Language Models. CoRR Gaotang Li, Yuzhong Chen, Hanghang Tong
2024	J	`jnl`	Bias Amplification Enhances Minority Group Performance. Trans. Mach. Learn. Res. Gaotang Li, Jiarui Liu, Wei Hu
2024	A*	`conf`	On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks. NeurIPS Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra
2024	J	`jnl`	On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks. CoRR Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra
2023	J	`jnl`	Bias Amplification Enhances Minority Group Performance. CoRR Gaotang Li, Jiarui Liu, Wei Hu
2023	A*	`conf`	Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. KDD Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan
2023	J	`jnl`	Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. CoRR Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan
2023	J	`jnl`	Size Generalizability of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective. CoRR Yujun Yan, Gaotang Li, Danai Koutra