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Black-box text-to-music generators can be steered to precisely match complex user intent by an agent that iteratively refines prompts based on rubric-based audio verification.
Routine clinical reports and historical scans can entirely replace manual voxel annotations, yielding dense tumor segmenters that outperform supervised public baselines at zero labeling cost.
Current AI memory systems struggle with fine-grained relational discrimination, revealing critical gaps in their ability to manage complex memory interactions over time.