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.
Relation : { class_name } Text : B.6.5 Semeval2010 You need to generate synthetic data for Relation Classification task
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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.