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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Aud

Recent text-to-audio models generate high-quality audio, but often fail to follow instructions involving multiple sound events and temporal order. This gap arises because existing evaluation and training signals mainly emphasize global simi

https://arxiv.org/abs/2607.13408v1 ↗
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