Qualitative researchers use tools to collect, sort, and analyze their data. Should qualitative
researchers use large language models (LLMs) as part of their practice? LLMs could …

The rise of large language models (LLMs) has led many researchers to consider their usage
for scientific work. Some have found benefits using LLMs to augment or automate aspects of …

Large Language Models (LLMs) such as OpenAI's GPT-4 and Google's Gemini have rapidly
emerged as influential tools across various sectors, including healthcare, education …

The potential of using Large Language Models (LLMs) themselves to evaluate LLM outputs
offers a promising method for assessing model performance across various contexts …

The advancements of Large Language Models (LLMs) have decentralized the responsibility
for the transparency of AI usage. Specifically, LLM users are now encouraged or required to …

The rise of end-user applications powered by large language models (LLMs), including both
conversational interfaces and add-ons to existing graphical user interfaces (GUIs) …

Self-disclosure facilitates relationships and can have a positive effect on people's well-
being. Nevertheless, people might refrain from engaging in self-disclosure and other …

Despite the increasing use of large language models (LLMs) in everyday life among
neurodivergent individuals, our knowledge of how they engage with and perceive LLMs …

The recent excitement around generative models has sparked a wave of proposals
suggesting the replacement of human participation and labor in research and development …