Structural Analysis Shows Boilerplate Refusals Degrade LLM Safety Discrimination

This study decomposes safety-tuning responses into boilerplate refusal statements and explanatory rationales to analyze false refusals. Findings indicate that standard refusal templates often prevent models from accurately distinguishing between genuinely harmful queries and benign inputs that use superficially risky language.