Xiao, Jiancong

12 publications

ICLR 2025 Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic Ruochen Jin, Bojian Hou, Jiancong Xiao, Weijie J Su, Li Shen

ICLR 2025 Magnetic Preference Optimization: Achieving Last-Iterate Convergence for Language Model Alignment Mingzhi Wang, Chengdong Ma, Qizhi Chen, Linjian Meng, Yang Han, Jiancong Xiao, Zhaowei Zhang, Jing Huo, Weijie J Su, Yaodong Yang

ICLR 2025 Preserving Diversity in Supervised Fine-Tuning of Large Language Models Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Zhi-Quan Luo, Ruoyu Sun

ICML 2025 Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long, Weijie J Su, Li Shen

COLT 2024 Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization Jiancong Xiao, Ruoyu Sun, Qi Long, Weijie Su

NeurIPSW 2024 Entropic Distribution Matching for Supervised Fine-Tuning of LLMs: Less Overfitting and Better Diversity Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo

ICML 2024 Uniformly Stable Algorithms for Adversarial Training and Beyond Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo, Asuman E. Ozdaglar

ICMLW 2023 Improving Adversarial Training for Multiple Perturbations Through the Lens of Uniform Stability Jiancong Xiao, Zeyu Qin, Yanbo Fan, Baoyuan Wu, Jue Wang, Zhi-Quan Luo

ICMLW 2023 PAC-Bayesian Adversarially Robust Generalization Bounds for Deep Neural Networks Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo

NeurIPS 2023 PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo

NeurIPSW 2022 Smoothed-SGDmax: A Stability-Inspired Algorithm to Improve Adversarial Generalization Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo, Asuman E. Ozdaglar

NeurIPS 2022 Stability Analysis and Generalization Bounds of Adversarial Training Jiancong Xiao, Yanbo Fan, Ruoyu Sun, Jue Wang, Zhi-Quan Luo