Year: 2024
Type: article
Abstract: Purpose: In this paper, we present CORE-GPT, an innovative service of the COnnecting REpositories (CORE) Open Access Collection that combines the Generative Pre-trained Transformers (GPT) model with the extensive collection of open access scientific documents from the CORE Open Access Collection. CORE-GPT provides citations of the scientific papers underlying the answers, links to PDF formats of the papers and thus improves the reliability and credibility of the answers. Methodology/approach: This paper gives an insight into the performance of the GPT models that played an important role in the creation of the CORE-GPT service. We also present some results from a recent study on the reliability of the CORE-GPT service and reflect on the role of libraries in the use of open access services. Results: CORE-GPT represents an important step forward in improving the search experience and the reliability of answers. By combining the GPT with the rich CORE database, it enables the provision of comprehensive and evidence-based answers to questions. Originality/practical implications: This article is one of the first presentations of the CORE-GPT service in Slovenia
Author: Ksenija Rivo
Institution: University of Ljubljana
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4403281012