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KAIST
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Expert iteration emerges as the key driver of quality in text-to-music generation, overshadowing the contributions of preference tuning.
TuneJury achieves superior music preference alignment with a single frozen reward model that adapts efficiently to new audio generators.
AdaTT achieves unprecedented timbral fidelity in instrument transfer by intelligently adapting expressive controls to match target instruments, outperforming traditional methods.
