NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain ...

Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world datasets, ...

Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...

A key step in the assessment cycle is gathering and analyzing evidence. Employing the appropriate data collection techniques for assessment is an important step in this process. Faculty and staff are ...