The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …

Class imbalance (CI) in classification problems arises when the number of observations
belonging to one class is lower than the other. Ensemble learning combines multiple models …

Conspiracy theory beliefs are notoriously persistent. Influential hypotheses propose that they
fulfill important psychological needs, thus resisting counterevidence. Yet previous failures in …

Students are prone to experiencing learning burnout while engaged in online learning due
to the lack of interaction. However, peer feedback can play an important role in alleviating …

Recently, ChatGPT, a representative large language model (LLM), has gained considerable
attention due to its powerful emergent abilities. Some researchers suggest that LLMs could …

Recently, ChatGPT, a representative large language model (LLM), has gained considerable
attention. Due to their powerful emergent abilities, recent LLMs are considered as a possible …

Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …

With the advent of large language models (LLMs), the artificial intelligence revolution in
medicine and radiology is now more tangible than ever. Every day, an increasingly large …

In this study, we investigate the capacity of large language models (LLMs), specifically GPT-
3.5, to operationalise natural language descriptions of cooperative, competitive, altruistic …

Legal judgment prediction (LJP) is a significant task in legal intelligence, which aims to
assist the judges and determine the judgment result based on the case's fact description …