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Evaluation

Internal safety benchmark construction (adversarial and borderline prompts)

Internal safety benchmarks built from human-written adversarial and borderline prompts per risk category (inspired by ML Commons taxonomy of hazards), ranging from direct harmful requests to sophisticated jailbreaks; basis for violation rate (VR) and false refusal rate (FRR) measurement

Harmful content & safety Meta

How it was run

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Llama 3
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partial detail 11 method fields published

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