Jiancong Xiao

According to our database, Jiancong Xiao authored at least 18 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, June, 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, May, 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

CoRR, May, 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, March, 2025

Understanding adversarial robustness against on-manifold adversarial examples.

Jiancong Xiao, Liusha Yang, Yanbo Fan, Jue Wang, Zhi-Quan Luo

Pattern Recognit., 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic.

Ruochen Jin, Bojian Hou, Jiancong Xiao, Weijie J. Su, Li Shen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

CoRR, 2024

Entropic Distribution Matching in 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

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

CoRR, 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, Qi Long, Weijie J. Su

CoRR, 2024

Uniformly Stable Algorithms for Adversarial Training and Beyond.

Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo, Asuman E. Ozdaglar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization.

Jiancong Xiao, Ruoyu Sun, Qi Long, Weijie Su

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization.

Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Adversarial Rademacher Complexity of Deep Neural Networks.

Jiancong Xiao, Yanbo Fan, Ruoyu Sun, Zhi-Quan Luo

CoRR, 2022

Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis.

Jiancong Xiao, Zeyu Qin, Yanbo Fan, Baoyuan Wu, Jue Wang, Zhi-Quan Luo

CoRR, 2022

Stability Analysis and Generalization Bounds of Adversarial Training.

Jiancong Xiao, Yanbo Fan, Ruoyu Sun, Jue Wang, Zhi-Quan Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022