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Harness optimization reveals that LLMs can significantly enhance their performance, but surprisingly, native harnesses aren't always the best choice for optimization.
Diffusion models, despite their generative prowess, may not offer the silver-bullet privacy guarantees often assumed when synthesizing tabular data, as demonstrated by novel membership inference attacks.