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Decoding One Safety Trigger Token for Balancing Safety and Usability in Large Language Models
Large Language Models (LLMs) have been extensively used across diverse domains, including virtual assistants, automated code generation, and scientific research. However, they remain vulnerable to jailbreak attacks, which manipulate the models into generating harmful responses despite safety alignme
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