VIDEO DOI: https://doi.org/10.48448/dkmn-gj93
keynote
CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answering
In this session, we present CORE-GPT, a novel question- answering platform that combines GPT-based language models and more than 32 million full-text open access scientific articles from CORE. We first demonstrate that GPT3.5 and GPT4 cannot be relied upon to provide references or citations for generated text. We then introduce CORE-GPT which delivers evidence-based answers to questions, along with citations and links to the cited papers, greatly increasing the trustworthiness of the answers and reducing the risk of hallucinations.