2 papers
cs.LG2026
When Muon Optimizer Meets Adversarial Training: A Theoretical and Empirical Study
Jun Yan, Weiquan Huang, Jiankai Zuo +4
Adversarial training (AT) remains one of the most reliable empirical defenses against adversarial attacks. Its robustness critically depends on how the underlying min-max objective…
cs.AI2025
Enhancing Conflict Resolution in Language Models via Abstract Argumentation
Zhaoqun Li, Xiaotong Fang, Chen Chen +2
In recent years, large language models (LLMs) have made significant advancements in developing human-like and engaging dialogue systems. However, in tasks such as consensus-buildin…