Nie, Fan

7 publications

NeurIPS 2025 EvoLM: In Search of Lost Training Dynamics for Language Model Reasoning Zhenting Qi, Fan Nie, Alexandre Alahi, James Zou, Himabindu Lakkaraju, Yilun Du, Eric P. Xing, Sham M. Kakade, Hanlin Zhang

ICML 2025 FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees Fan Nie, Xiaotian Hou, Shuhang Lin, James Zou, Huaxiu Yao, Linjun Zhang

ICML 2025 TAROT: Targeted Data Selection via Optimal Transport Lan Feng, Fan Nie, Yuejiang Liu, Alexandre Alahi

ICML 2024 Learning Divergence Fields for Shift-Robust Graph Representations Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan

CoRL 2024 Uncertainty-Aware Decision Transformer for Stochastic Driving Environments Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao

NeurIPS 2023 SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan

NeurIPS 2022 GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs Zenan Li, Qitian Wu, Fan Nie, Junchi Yan