Stability Analysis and Generalization Bounds of Adversarial Training. - Jiancong Xiao; Yanbo Fan; Ruoyu Sun 001; Jue Wang 001; Zhi-Quan Luo (NeurIPS, 2022)

Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis. - Jiancong Xiao; Zeyu Qin; Yanbo Fan; Baoyuan Wu; Jue Wang 001; Zhi-Quan Luo (CoRR, 2022)

Adversarial Rademacher Complexity of Deep Neural Networks. - Jiancong Xiao; Yanbo Fan; Ruoyu Sun 001; Zhi-Quan Luo (CoRR, 2022)

PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization. - Jiancong Xiao; Ruoyu Sun 001; Zhi-Quan Luo (NeurIPS, 2023)

Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization. - Jiancong Xiao; Ruoyu Sun 001; Qi Long; Weijie Su 001 (COLT, 2024)

Uniformly Stable Algorithms for Adversarial Training and Beyond. - Jiancong Xiao; Jiawei Zhang 007; Zhi-Quan Luo; Asuman E. Ozdaglar (ICML, 2024)

On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization. - Jiancong Xiao; Ziniu Li; Xingyu Xie; Emily J. Getzen; Cong Fang 001; Qi Long; Weijie J. Su (CoRR, 2024)

Fine-Tuning Linear Layers Only Is a Simple yet Effective Way for Task Arithmetic. - Ruochen Jin; Bojian Hou; Jiancong Xiao; Weijie J. Su; Li Shen 001 (CoRR, 2024)

Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity. - Ziniu Li; Congliang Chen; Tian Xu 003; Zeyu Qin; Jiancong Xiao; Ruoyu Sun 001; Zhi-Quan Luo (CoRR, 2024)

Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Models Alignment. - Mingzhi Wang; Chengdong Ma; Qizhi Chen; Linjian Meng; Yang Han; Jiancong Xiao; Zhaowei Zhang; Jing Huo; Weijie J. Su; Yaodong Yang 001 (CoRR, 2024)

Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic. - Ruochen Jin; Bojian Hou; Jiancong Xiao; Weijie J. Su; Li Shen 001 (ICLR, 2025)

Preserving Diversity in Supervised Fine-Tuning of Large Language Models. - Ziniu Li; Congliang Chen; Tian Xu 003; Zeyu Qin; Jiancong Xiao; Zhi-Quan Luo; Ruoyu Sun 001 (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 001 (ICLR, 2025)

Understanding adversarial robustness against on-manifold adversarial examples. - Jiancong Xiao; Liusha Yang; Yanbo Fan; Jue Wang 001; Zhi-Quan Luo (Pattern Recognit., 2025)

Statistical Impossibility and Possibility of Aligning LLMs with Human Preferences: From Condorcet Paradox to Nash Equilibrium. - Kaizhao Liu; Qi Long; Zhekun Shi; Weijie J. Su; Jiancong Xiao (CoRR, 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 001 (CoRR, 2025)

Fundamental Limits of Game-Theoretic LLM Alignment: Smith Consistency and Preference Matching. - Zhekun Shi; Kaizhao Liu; Qi Long; Weijie J. Su; Jiancong Xiao (CoRR, 2025)

Theoretical Tensions in RLHF: Reconciling Empirical Success with Inconsistencies in Social Choice Theory. - Jiancong Xiao; Zhekun Shi; Kaizhao Liu; Qi Long; Weijie J. Su (CoRR, 2025)