Paper information in the topic of large language models

This dataset supports the findings in the preprint 'Academic collaboration on large language model studies increases overall but varies across disciplines.' The study aims to explore the application of large language models (LLMs) in scientific disciplines and their implications for interdisciplinary collaboration. The two files below contain works downloaded from OpenAlex using key search terms related to LLMs: works-2018-2022.csv works-2023-2024.csv The following file is a cleaned dataset derived from the original files, used to support the analysis and findings in the paper: cleaned_papers.csv The file below contains author affiliation information (including departmental discipline) extracted by GPT-4 to support the departmental analysis in the paper: author_affiliations.json If you have any additional questions, please feel free to contact [e-mail] or [e-mail].