Genetic Prompt uses LLMs to run semantic-level crossover and mutation on text attributes from two far-apart parent examples, producing synthetic data that improves downstream NLP performance, especially for rare classes.
B.2 Additional Technical Details During generation, for responses that do not adhere to the instructions, such as ‘I am just a large lan- guage model
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Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation
Genetic Prompt uses LLMs to run semantic-level crossover and mutation on text attributes from two far-apart parent examples, producing synthetic data that improves downstream NLP performance, especially for rare classes.