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4 safety benchmarks

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1papers using it
2026first seen

The '4 safety benchmarks' is a dataset used to evaluate the safety performance of models by assessing their outputs against specific safety criteria, ensuring that speculative decoding does not compromise safety in generated responses.

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4 safety benchmarks — datasets — generative-models