Zhou, Yefan

9 publications

ICLR 2026 Diffusion Language Model Knows the Answer Before It Decodes Pengxiang Li, Yefan Zhou, Dilxat Muhtar, Lu Yin, Shilin Yan, Li Shen, Yi Liang, Soroush Vosoughi, Shiwei Liu

ICLR 2026 On the Shelf Life of Fine-Tuned LLM-Judges: Future-Proofing, Backward-Compatibility, and Question Generalization Janvijay Singh, Austin Xu, Yilun Zhou, Yefan Zhou, Dilek Hakkani-Tür, Shafiq Joty

ICLR 2026 Variation in Verification: Understanding Verification Dynamics in Large Language Models Yefan Zhou, Austin Xu, Yilun Zhou, Janvijay Singh, Jiang Gui, Shafiq Joty

ICLRW 2025 A Model Zoo on Phase Transitions in Neural Networks Konstantin Schürholt, Léo Meynent, Yefan Zhou, Yaoqing Yang, Damian Borth

NeurIPS 2024 AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-Wise Pruning of Large Language Models Haiquan Lu, Yefan Zhou, Shiwei Liu, Zhangyang Wang, Michael W. Mahoney, Yaoqing Yang

ICML 2024 MD Tree: A Model-Diagnostic Tree Grown on Loss Landscape Yefan Zhou, Jianlong Chen, Qinxue Cao, Konstantin Schürholt, Yaoqing Yang

NeurIPS 2024 Sharpness-Diversity Tradeoff: Improving Flat Ensembles with SharpBalance Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang

ICML 2023 A Three-Regime Model of Network Pruning Yefan Zhou, Yaoqing Yang, Arin Chang, Michael W. Mahoney

NeurIPS 2023 Temperature Balancing, Layer-Wise Weight Analysis, and Neural Network Training Yefan Zhou, Tianyu Pang, Keqin Liu, Charles Martin, Michael W. Mahoney, Yaoqing Yang