<ul><li>Researchers have proposed a pipeline for generating synthetic data and investigating the factors that influence the validity of the data.</li><li>They explored the use of Large Language Models (LLMs) to generate synthetic datasets for language detection.</li><li>The study focused on inclusive language detection in Italian job advertisements.</li><li>Results show that the fine-tuned models trained on synthetic data performed better than other models on both real and synthetic test datasets.</li></ul>

Artificial Conversations, Real Results: Fostering Language Detection with Synthetic Data

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