Di Huang

Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

With the widespread application of Large Language Models (LLMs), it has become a significant concern to ensure their safety and prevent harmful responses. While current safe-alignment methods based on instruction fine-tuning and Reinforcement Learning from …