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LLMs' text-only pre-training secretly encodes surprisingly different levels of auditory knowledge, directly impacting their effectiveness as backbones for audio language models.
Text-derived "nudges" can steer the reasoning of speech-based AI models, boosting accuracy by up to 4.4% without any training.
