![]() We’ve also received a number of other questions about ChatGPT. If the sources are real, accurate, and relevant, it may be better to read those original sources to learn from that research and paraphrase or quote from those articles, as applicable, than to use the model’s interpretation of them. Authors using ChatGPT or similar AI tools for research should consider making this scrutiny of the primary sources a standard process. ![]() ![]() The fifth does not seem to be a real article the digital object identifier given for that reference belongs to a different article, and I was not able to find any article with the authors, date, title, and source details that ChatGPT provided. I asked for a list of sources to support those claims and ChatGPT provided five references-four of which I was able to find online. You may have noticed the confidence with which ChatGPT described the ideas of brain lateralization and how the brain operates, without citing any sources. For other models or products for which you may create a reference, use the URL that links as directly as possible to the source (i.e., the page where you can access the model, not the publisher’s homepage). Source: When the publisher name and the author name are the same, do not repeat the publisher name in the source element of the reference, and move directly to the URL. The goal of the bracketed text is to briefly describe the kind of model to your reader. Later versions and software or models from other companies may need different descriptions, based on how the publishers describe the model. OpenAI describes ChatGPT-4 as a “large multimodal model,” so that description may be provided instead if you are using ChatGPT-4. In the case of a reference for ChatGPT, provide the descriptor “Large language model” in square brackets. References for a number of common sources, such as journal articles and books, do not include bracketed descriptions, but things outside of the typical peer-reviewed system often do. Different large language models or software might use different version numbering use the version number in the format the author or publisher provides, which may be a numbering system (e.g., Version 2.0) or other methods.īracketed text is used in references for additional descriptions when they are needed to help a reader understand what’s being cited. The format for the version number in ChatGPT references includes the date because that is how OpenAI is labeling the versions. The version number is included after the title in parentheses. Although OpenAI labels unique iterations (i.e., ChatGPT-3, ChatGPT-4), they are using “ChatGPT” as the general name of the model, with updates identified with version numbers. Title: The name of the model is “ChatGPT,” so that serves as the title and is italicized in your reference, as shown in the template. The version number provides the specific date information a reader might need. Following the template in Section 10.10, you need to include only the year, not the exact date. Let’s break that reference down and look at the four elements (author, date, title, and source):Īuthor: The author of the model is OpenAI.ĭate: The date is the year of the version you used. For more about guidelines and policies about student and author use of ChatGPT, see the last section of this post. As always, defer to instructor guidelines when writing student papers. We know instructors have differing opinions about how or even whether students should use ChatGPT, and we’ll be continuing to collect feedback about instructor and student questions. In this post, I discuss situations where students and researchers use ChatGPT to create text and to facilitate their research, not to write the full text of their paper or manuscript. Thank you to everyone who has contributed and shared ideas, opinions, research, and feedback. We’ve also been gathering opinions and feedback about the use and citation of ChatGPT. And, like so many nonrobot human beings this year, we’ve spent a fair amount of time reading, learning, and thinking about issues related to large language models, artificial intelligence (AI), AI-generated text, and specifically ChatGPT. We can all pass a CAPTCHA test, and we know our roles in a Turing test.
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