Assessing the Potentials of LLMs and GANs as State-of-the-Art Tabular Synthetic Data Generation Methods
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-69651-0_25
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