Adversarial Preference Learning for Robust LLM Alignment

Yuanfu Wang, Pengyu Wang, Chenyang Xi +13

Modern language models often rely on Reinforcement Learning from Human Feedback (RLHF) to encourage safe behaviors. However, they remain vulnerable to adversarial attacks due to th…