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VIBE achieves superior instruction adherence and controllability in music generation from video, setting a new standard for semantic alignment in multimodal tasks.
TEMPO not only achieves superior timestamping accuracy in audio-language models but also integrates innovative techniques like atomic timestamp tokens and reinforcement learning for enhanced performance.
