Injecting a fine-tuned BERT classifier's category label into LLM prompts improves accuracy on a 150-question automotive jailbreak benchmark, but the evaluation is self-referential and lacks external validation.
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Improving LLM Outputs Against Jailbreak Attacks with Expert Model Integration
Injecting a fine-tuned BERT classifier's category label into LLM prompts improves accuracy on a 150-question automotive jailbreak benchmark, but the evaluation is self-referential and lacks external validation.