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By optimizing gradient inversions across hierarchical GAN feature spaces, GIFD achieves pixel-perfect reconstructions of private data in federated learning, even in challenging out-of-distribution scenarios.
ErrorLLM tackles the challenge of refining LLM-generated SQL by explicitly modeling and detecting implicit semantic errors, leading to substantial improvements in text-to-SQL performance.
