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Queen Mary University of London
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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.
Agent systems leveraging iterative tool orchestration and cross-modal analysis significantly outperform single models in audio reasoning, highlighting a promising path toward explainable audio intelligence.
