This AI Paper Introduces SafeEdit: A New Benchmark to Investigate Detoxifying LLMs via Knowledge Editing

As Large Language Models (LLMs) like ChatGPT, LLaMA, and Mistral continue to advance, concerns about their susceptibility to harmful queries have intensified, prompting the need for robust safeguards. Approaches such as supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and direct preference optimization (DPO) have been widely adopted to enhance the safety of LLMs, […]

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