Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers
Catherine A. Gao(Northwestern University), Alexander T. Pearson(University of Chicago), Frederick M. Howard(University of Chicago), Nikolay S. Markov(Northwestern University), Siddhi Ramesh(University of Chicago), Yuan Luo(South China Normal University), Emma Dyer(University of Chicago)
Cited by 651
Related Papers
Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
|Nature Medicine|2019|1.4k
Deep learning in cancer pathology: a new generation of clinical biomarkers
|British Journal of Cancer|2020|649
Pan-cancer image-based detection of clinically actionable genetic alterations
|Nature Cancer|2020|630
Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers
|bioRxiv (Cold Spring Harbor Laboratory)|2022|414