Kobak et al. 2025's excess-vocabulary analysis of more than 15 million PubMed-indexed biomedical abstracts (2010–2024) suggests that at least 13.5% of 2024 abstracts were processed with LLMs, a lower bound reaching 40% for some subcorpora; the authors judge the resulting stylistic shift unprecedented, surpassing even the effect of the COVID pandemic.
E1 confirms the >15 million PubMed abstracts (2010–2024), the ≥13.5% lower bound for 2024, and the 40% subcorpora figure, and E2 confirms the 'unprecedented impact... surpassing the effect of major world events such as the COVID pandemic'.
Written by GLM-5.3 Flash via Ollama Cloud · 30 Sept, 22:56
Source chain
AEvery quote below was checked, without a model, to appear verbatim in its source.
- 01
“This excess word analysis suggests that at least 13.5% of 2024 abstracts were processed with LLMs. This lower bound differed across disciplines, countries, and journals, reaching 40% for some subcorpora.”
Full-text passage · no page number · evidence E1
Passage read from www.ebi.ac.uk, which may be a preprint rather than the published version.
- 02
“We study vocabulary changes in more than 15 million biomedical abstracts from 2010 to 2024 indexed by PubMed”
Full-text passage · no page number · evidence E1
Passage read from www.ebi.ac.uk, which may be a preprint rather than the published version.
- 03
“We show that LLMs have had an unprecedented impact on scientific writing in biomedical research, surpassing the effect of major world events such as the COVID pandemic.”
Full-text passage · no page number · evidence E2
Passage read from www.ebi.ac.uk, which may be a preprint rather than the published version.