Exploratory Study

Exploratory studies in various scientific fields currently leverage large language models (LLMs) and other machine learning techniques to investigate diverse research questions. These studies focus on areas such as improving data analysis workflows, evaluating the reliability and biases of LLMs in different applications (e.g., grading, information retrieval), and assessing the impact of data quality on AI-assisted tools. This research is significant because it helps refine existing AI methods, identify and mitigate biases, and ultimately improve the trustworthiness and usability of AI systems across a range of practical applications.