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Rapid progress in the capabilities of machine learning approaches in natural language processing has culminated in the rise of large language models over the last two years.
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“ChatGPT and large language models in academia: opportunities and challenges”
Jesse Meyer et al · 2023
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“Artificial hallucinations in ChatGPT: implications in scientific writing”
Hussam Alkaissi and Samy McFarlane · 2023
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Alin Zamfiroiu, Denisa Vasile and Daniel Savu · 2023
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Vanessa Böhm and Jia Liu · 2023
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“Friend or foe? Exploring the implications of large language models on the science system”
Benedikt Fecher et al · 2023
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“ChatGPT and Academic Research: A Review and Recommendations Based on Practical Examples”, 2023, pp. 1–12
Md Rahman et al · 2023
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“Plagiarism, Academic Ethics, and the Utilization of Generative Ai in Academic Writing”
Julian Koplin · 2023
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“Generative AI entails a credit–blame asymmetry”
Sebastian Porsdam et al · 2023
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“AstroLLaMA: Towards Specialized Foundation Models in Astronomy”
Tuan Nguyen et al · 2023
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“Fighting fire with fire: can ChatGPT detect AI-generated text?”
Amrita Bhattacharjee and Huan Liu · 2024
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“The Impact of AI on Scientific Literature: A Surge in AI-Associated Words in Academic and Biomedical Writing”
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