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Scientific publishing now appears to be divided into two distinct eras: pre-LLM and post-LLM (Large Language Models of generative artificial intelligence). Even before the advent of large language models, the academic community was already grappling with a surging tide of research papers. Over the past decade, the sheer volume of publications has exploded—by 2022, databases like Scopus and Web of Science recorded roughly a 47% increase in articles compared to 2016 1 . Researchers were increasingly overwhelmed, struggling to keep pace with the constant influx of new findings 1 – 3 .
Thurzo et al. (Tue,) studied this question.