  This article focuses on bibliographic references generated by the ChatGPT3.5
tool. Using this tool based on the trained GPT generation model ChatGPT3.5,
developed by the company OpenAI, we explored six different themes and analyzed
a sample of references generated by the model, in French and English. The
results revealed high percentages of fictitious references in several fields,
underlining the importance of carefully checking these references before using
them in research work. An improvement in results was nevertheless noted between
May and July with regard to English references for themes on which ChatGPR3.5
has been particularly trained, but the situation remains unsatisfactory in
French, for example. It should also be pointed out that much of the text in
this article was generated by ChatGPT in a joint effort with the human author.
