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Leading audio LLMs suffer up to a 41-percentage-point performance drop when prompted in native Southeast Asian languages compared to English, exposing severe blind spots in acoustic temporal grounding and paralinguistics.
Automated creativity evaluation reveals that LLMs can achieve significant improvements in task fulfillment efficiency, transforming how we assess AI creativity across diverse applications.