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GRPO-based fine-tuning, guided by LLM-generated captions, significantly boosts text-to-audio synthesis fidelity and prompt adherence.
Recursive models can exponentially shrink the context window needed for long-horizon reasoning, blowing past the limitations of even the biggest LLMs.
