ChatGPT’s scorecard after the performance in a series of tests conducted at the multi-country level: A pattern of responses of generative artificial intelligence or large language models
Manojit Bhattacharya(Fakir Mohan University), Chiranjib Chakraborty(Hallym University), Siddappa N. Byrareddy(Nebraska Medical Center), Zhi‐Hong Wen(National Sun Yat-sen University), Prosun Bhattacharya(KTH Royal Institute of Technology), Sang‐Soo Lee(Hallym University), Govindasamy Agoramoorthy(Tajen University), Srijan Chatterjee(Hallym University), Abdulrahman Alshammari(University of Babylon), Thamer H. Albekairi(King Saud University), Hatem Zayed(Qatar University), Elijah I. Ohimain(Niger Delta University), Soumen Pal(Vellore Institute of Technology University), Supriya Jagga(Hallym University)
Cited by 5
Related Papers
Therapeutic miRNA and siRNA: Moving from Bench to Clinic as Next Generation Medicine
|Molecular Therapy — Nucleic Acids|2017|727
Arsenic enrichment in groundwater of the alluvial aquifers in Bangladesh: an overview
|Applied Geochemistry|2003|688
Occurrence of Arsenic-contaminatedGroundwater in Alluvial Aquifers from Delta Plains, Eastern India: Options for Safe Drinking Water Supply
|International Journal of Water Resources Development|1997|665
Arsenic in the environment: Biology and Chemistry
|The Science of The Total Environment|2007|620
Controls on the genesis of some high-fluoride groundwaters in India
|Applied Geochemistry|2004|475