Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/65777
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dc.contributor.authorNaithani, Paarth-
dc.date.accessioned2025-04-25T11:10:50Z-
dc.date.available2025-04-25T11:10:50Z-
dc.date.issued2025-05-
dc.identifier.issn0975-1076 (Online); 0971-7544 (Print)-
dc.identifier.urihttp://nopr.niscpr.res.in/handle/123456789/65777-
dc.description376-382en_US
dc.description.abstractThe advent of large language models such as ChatGPT has led people to use text responses generated by large language models (LLMs) in their research publications. This paper explores the issues arising from such use, including - originality of ideas and work, originality of text generated by LLMs, and plagiarism and moral right to attribution when work created by LLMs is used by authors. The paper proposes a plagiarism policy for using text generated by LLMs. Broadly, the policy proposes the following. If a work copies the response of LLMs, the use of LLM should be acknowledged, and the text should be presented in quotations. The original source of the information must be searched and acknowledged. If the work paraphrases the response of LLM, the use of LLM should be acknowledged. The original source of the information must be searched and acknowledged. If the work resulted from ideas generated during interaction with LLM, the use of LLM should be acknowledged for the help in generating the idea.en_US
dc.language.isoenen_US
dc.publisherNIScPR-CSIR, Indiaen_US
dc.sourceJIPR Vol.30(3) [May 2025]en_US
dc.subjectLarge language Modelsen_US
dc.subjectChatgpten_US
dc.subjectCopyrighten_US
dc.subjectPlagiarismen_US
dc.subjectRight to Attributionen_US
dc.subjectMoral Rightsen_US
dc.titleIssues of Plagiarism and Moral Right to Attribution When Using Work Created by Large Language Modelsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.56042/jipr.v30i3.11782en_US
Appears in Collections:JIPR Vol.30(3) [May 2025]

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