关键词: ChatGPT LLM LLMs NLP academic journals artificial intelligence generation generative honesty integrity language model language models large language model large language models natural language processing paraphrase paraphrasing plagiarism plagiarize plagiarizing prompt prompts rephrase text text generation texts textual wording

Mesh : Plagiarism Humans Writing

来  源:   DOI:10.2196/53308   PDF(Pubmed)

Abstract:
UNASSIGNED: The introduction of ChatGPT by OpenAI has garnered significant attention. Among its capabilities, paraphrasing stands out.
UNASSIGNED: This study aims to investigate the satisfactory levels of plagiarism in the paraphrased text produced by this chatbot.
UNASSIGNED: Three texts of varying lengths were presented to ChatGPT. ChatGPT was then instructed to paraphrase the provided texts using five different prompts. In the subsequent stage of the study, the texts were divided into separate paragraphs, and ChatGPT was requested to paraphrase each paragraph individually. Lastly, in the third stage, ChatGPT was asked to paraphrase the texts it had previously generated.
UNASSIGNED: The average plagiarism rate in the texts generated by ChatGPT was 45% (SD 10%). ChatGPT exhibited a substantial reduction in plagiarism for the provided texts (mean difference -0.51, 95% CI -0.54 to -0.48; P<.001). Furthermore, when comparing the second attempt with the initial attempt, a significant decrease in the plagiarism rate was observed (mean difference -0.06, 95% CI -0.08 to -0.03; P<.001). The number of paragraphs in the texts demonstrated a noteworthy association with the percentage of plagiarism, with texts consisting of a single paragraph exhibiting the lowest plagiarism rate (P<.001).
UNASSIGNED: Although ChatGPT demonstrates a notable reduction of plagiarism within texts, the existing levels of plagiarism remain relatively high. This underscores a crucial caution for researchers when incorporating this chatbot into their work.
摘要:
OpenAI对ChatGPT的引入引起了极大的关注。在其能力中,释义突出。
本研究旨在调查该聊天机器人产生的释义文本中剽窃的令人满意的水平。
向ChatGPT提交了三个不同长度的文本。然后指示ChatGPT使用五个不同的提示来解释所提供的文本。在研究的后续阶段,案文分为不同的段落,ChatGPT被要求单独解释每个段落。最后,在第三阶段,ChatGPT被要求解释它以前生成的文本。
ChatGPT生成的文本中的平均抄袭率为45%(SD10%)。ChatGPT在提供的文本中表现出抄袭的大幅减少(平均差异-0.51,95%CI-0.54至-0.48;P<.001)。此外,当将第二次尝试与初始尝试进行比较时,抄袭率显着下降(平均差-0.06,95%CI-0.08至-0.03;P<.001)。文本中的段落数量表明与抄袭的百分比有值得注意的关联,由单个段落组成的文本表现出最低的抄袭率(P<.001)。
尽管ChatGPT显著减少了文本中的抄袭,现有的抄袭水平仍然相对较高。这突显了研究人员在将这种聊天机器人纳入他们的工作时的关键谨慎。
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