AI Revolution in Academic Writing: Unveiling the Rise of Large Language Models
A study by Stanford University reveals a significant rise in the use of large language models, like ChatGPT, in scientific papers, particularly in computer science. The analysis of over a million papers highlights AI's impact on academic writing and the varying disclosure of AI usage by researchers.
- Country:
- India
Researchers have identified a substantial surge in the application of large language models (LLMs) within scientific papers, especially noticeable in computer science disciplines. This proliferation, documented between 2020 and 2024, underscores the growing reliance on AI-powered systems for academic content generation.
The study, conducted by scholars from Stanford University and affiliated American institutions, meticulously analyzed 1,121,912 pre-print and published papers from archives such as 'arXiv' and 'bioRxiv', alongside Nature journals. Their focus was on the frequency of AI-associated terminology within these documents, estimating the involvement of systems like ChatGPT in the writing process.
The observed trends show significant AI utilization, particularly among pre-prints from non-English dominant regions, illustrating the global impact of language models on scholarly communication. Yet, the disclosure of such AI usage remains sparse, prompting a call for clearer policies and further research into the motivations behind these practices.
(With inputs from agencies.)
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