English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper, we present CORE-GPT, a novel question-answering platform thatcombines GPT-based language models and more than 32 million full-text openaccess scientific articles from CORE. We first demonstrate that GPT3.5 and GPT4cannot be relied upon to provide references or citations for generated text. Wethen introduce CORE-GPT which delivers evidence-based answers to questions,along with citations and links to the cited papers, greatly increasing thetrustworthiness of the answers and reducing the risk of hallucinations.CORE-GPT's performance was evaluated on a dataset of 100 questions covering thetop 20 scientific domains in CORE, resulting in 100 answers and links to 500relevant articles. The quality of the provided answers and and relevance of thelinks were assessed by two annotators. Our results demonstrate that CORE-GPTcan produce comprehensive and trustworthy answers across the majority ofscientific domains, complete with links to genuine, relevant scientificarticles.

CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answering