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LLMs are shockingly vulnerable to jailbreaking via subtle manipulations of chat templates, achieving near-perfect attack success rates even on commercial models.
Text-only LLMs already contain surprisingly diverse levels of auditory knowledge, and this pre-existing knowledge strongly predicts their performance when adapted for audio-language tasks.
