GPT Based

Research on GPT-based applications is rapidly expanding, focusing on leveraging large language models (LLMs) for diverse tasks beyond text generation. Current efforts concentrate on using LLMs for automated evaluation in areas like code similarity, translation quality, and even peer review, as well as for improving existing processes such as questionnaire pretesting and programming assignment feedback. These applications demonstrate the potential of LLMs to enhance efficiency and objectivity in various scientific and practical domains, although careful consideration of limitations, such as potential biases and over-reliance, is crucial. The development of robust evaluation metrics for LLMs themselves is also a significant area of ongoing research.