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This paper introduces Goku, a million-scale dataset and benchmark for instruction-based video editing, supporting multi-task and structural manipulations. The accompanying model, Goku-Edit, achieves up to +8% improvement on instruction following over open-source models.
MMAE is a comprehensive benchmark for instruction-based audio editing across multiple modalities and complexity levels, revealing significant gaps in current model capabilities.