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Unleashing smaller LMs only when RL agents are uncertain yields surprisingly robust out-of-distribution generalization without sacrificing in-domain performance.
Synthetic data from DreamBooth can significantly boost the accuracy of authorship attribution models for paintings, offering a solution to data scarcity in art authentication.
