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In this paper, we present CORE-GPT, a novel question-answering platform that combines GPT-based language models and more than 32 million full-text open access scientific articles from CORE.
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Language models are unsupervised multitask learners
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Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers
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Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases
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Accessed: 2023-04-24
OpenAI. OpenAI, editor. GPT-4 Techincal Report. OpenAI; 2023 · 2023
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A Bibliometric Review of Large Language Models Research from 2017 to 2023
Fan L, Li L, Ma Z, Lee S, Yu H, Hemphill L · 2023
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A survey of large language models
Zhao WX, Zhou K, Li J, Tang T, Wang X, Hou Y, et al · 2023
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ChatGPT for good? On opportunities and challenges of large language models for education
Kasneci E, Seßler K, Küchemann S, Bannert M, Dementieva D, Fischer F, et al · 2023
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Shen Yea. Moy L, editor. ChatGPT and other large language models are double-edged swords. Radiological Society of North America; 2023
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Accessed: 2023-05-30
Armstrong K. BBC, editor. ChatGPT: US lawyer admits using AI for case research. BBC; 2023 · 2023
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Artificial hallucinations in ChatGPT: implications in scientific writing
Alkaissi H, McFarlane SI · 2023
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Accessed: 2023-05-30
McMichael J. SMU, editor. Artificial Intelligence and the Research Paper: A Librarian’s Perspective. SMU; 2023 · 2023
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CORE: A Global Aggregation Service for Open Access Papers
Knoth P, et al · 2023
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