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See a monthly parameter usage report for Template:AI-generated in articles based on its TemplateData. TemplateData for AI-generated This tag is intended to identify articles that need extensive examination because they appear to have been generated using a large language model without rigorous scrutiny.
The adoption of generative AI tools led to an explosion of AI-generated content across multiple domains. A study from University College London estimated that in 2023, more than 60,000 scholarly articles—over 1% of all publications—were likely written with LLM assistance. [ 182 ]
See a monthly parameter usage report for Template:AI-generated in articles based on its TemplateData. TemplateData for AI-generated This tag is intended to identify articles that need extensive examination because they appear to have been generated using a large language model without rigorous scrutiny.
Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.
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The Board finds that the Work contains more than a de minimis amount of content generated by artificial intelligence ("AI"), and this content must therefore be disclaimed in an application for registration. Because Mr. Allen is unwilling to disclaim the AI-generated material, the Work cannot be registered as submitted. [10]
Fully customizable templates can be created in the style and format preferred by the user. Reports can be exported into variety of file formats (OpenDocument (*.odt), RTF (*.rtf), Microsoft Word (*.docx), Microsoft Excel (*.xlsx), Microsoft PowerPoint (*.pptx), XML, HTML, XHTML). Reports can be personalized with characters, paragraphs, and ...
See a monthly parameter usage report for Template:AI-generated inline in articles based on its TemplateData. TemplateData for AI-generated inline This tag is intended to identify articles that need extensive examination because they appear to have been generated using a large language model without rigorous scrutiny.