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Fine-grained evaluation reveals that current text-to-audio models fail to preserve speech content and control audio attributes effectively.
Forget supervised fine-tuning: RL alone can unlock high-quality chain-of-thought reasoning in audio-language models, even starting from a model with no prior CoT capability.
