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Quantifying large language model usage in scientific papers · Study

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ArticleQuantifying large language model usage in scientific papers

Weixin Liang2025

Article2025

Quantifying large language model usage in scientific papers

Weixin Liang · Zhengxuan Wu · Haley Lepp · Wenlong Ji · Hancheng Cao · Sheng Liu +6 more

79 citations·0/0 files stored·Nature Human Behaviour

No readable copy stored yet — this record is metadata only.

scientometrics and bibliometrics research Academic Writing and Publishing Academic Publishing and Open Access

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 79 citations exist upstream.

References

2023ChatGPT is fun, but not an author 2015Tradition and Innovation in Scientists’ Research Strategies 2016Languages Are Still a Major Barrier to Global Science 2023Testing of detection tools for AI-generated text 2019Defending Against Neural Fake News 2020S2ORC: The Semantic Scholar Open Research Corpus 2019Release Strategies and the Social Impacts of Language Models 2024Can Large Language Models Provide Useful Feedback on Research Papers? A Large-Scale Empirical Analysis

Cited by

2026More Versus Better: Artificial Intelligence, Incentives, and the Emerging Crisis in Peer Review 2026Hallucinated citations are polluting the scientific literature. What can be done?2026Academic journals’ AI policies fail to curb the surge in AI-assisted academic writing 2025Exploring the use of AI authors and reviewers at Agents4Science

Details

Year2025

Typearticle

Published2025-08-04

VenueNature Human Behaviour

ISSN-L2397-3374

Languageen

Citations79

Files0 public / 0

Shelfscientometrics and bibliometrics research

Identifiers

doi10.1038/s41562-025-02273-8

openalex_workW4412929247

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