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The article analyzes the impact of large language models (LLMs) on scientific productivity, revealing that LLM adoption significantly increases manuscript output across various academic disciplines. It highlights that while LLMs enhance writing accessibility for non-native English speakers, they may also undermine traditional quality indicators of scientific merit, leading to a potential dilution of research quality. The findings suggest a need for science policy to adapt to the evolving landscape of scient
- Author
- pexap21332
- Language
- EN