Under the surface: Tracking the artifactuality of llm-generated data

Explored the expanding role of large language models (LLMs) in generating artificial data, analyzing various types of LLM-generated text and their implications, revealing significant disparities compared to human data, especially in complex tasks, and emphasizing the need for ethical practices in data creation and addressing biases.