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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.
Text-derived "nudges" can steer the reasoning of speech-based AI models, boosting accuracy by up to 4.4% without any training.
