Revolutionizing Language Model Safety: How Reverse Language Models Combat Toxic Outputs

Language models (LMs) exhibit problematic behaviors under certain conditions: chat models can produce toxic responses when presented with adversarial examples, LMs prompted to challenge other LMs can generate questions that provoke toxic responses, and LMs can easily get sidetracked by irrelevant text. To enhance the robustness of LMs against worst-case user inputs, one strategy involves […]

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