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In AI safety, red teaming language models refers to probing a language model for harmful behaviors by generating test inputs, here with another language model, and measuring failures. This meaning comes from Perez (2022) in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.[1]
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