  The paper looks at the role of large language models in academic knowledge
creation based on a scoping review (2018 to January 2023) of how researchers
have previously used the language model GPT to assist in the performance of
academic knowledge creation tasks beyond data analysis. These tasks include
writing, editing, reviewing, dataset creation and curation, which have been
difficult to perform using earlier ML tools. Based on a synthesis of these
papers, this study identifies pathways for a future academic research landscape
that incorporates wider usage of large language models based on the current
modes of adoption in published articles as a Co-Writer, Research Assistant and
Respondent.
