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TrueMuse: A Benchmark for Data Attribution in Text-to-Music Models
Text-to-music generation models are trained on massive music collections, creating a growing need for data attribution methods that can quantify the contribution of individual training samples. However, existing attribution methods are difficult to rigorously evaluate due to the lack of reliable gro
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