HuWei Ji

Leveraging Machine Unlearning for Cost-Efficient Preference Alignment

Despite advances in Preference Alignment (PA) for Large Language Models (LLMs), mainstream methods like reinforcement learning with human feedback face notable challenges. These approaches require high-quality datasets of positive preference examples, which are costly to obtain and computationally i…