Show code
library("grateful")
citations <- cite_packages(output = "paragraph",
out.dir = ".",
cite.tidyverse = TRUE)
# citationsReferences
Aczel, Balazs, Barnabas Szaszi, and Alex O Holcombe, “A
billion-dollar donation: Estimating the cost of researchers’ time spent
on peer review,” Research integrity and peer review, 6
(2021), 1–8 (Springer).
Brodeur, Abel, David Valenta, Alexandru Marcoci, Juan P Aparicio, Derek
Mikola, Bruno Barbarioli, Rohan Alexander, Lachlan Deer, Tom Stafford,
Lars Vilhuber, and others, “Comparing human-only,
AI-assisted, and AI-led teams on assessing research reproducibility in
quantitative social science,” Institute for Replication
(I4R) Discussion Paper, 195 (2025).
Eger, Steffen, Yong Cao, Jennifer D’Souza, Andreas Geiger, Christian
Greisinger, Stephanie Gross, Yufang Hou, Brigitte Krenn, Anne Lauscher,
Yizhi Li, Chenghua Lin, Nafise Sadat Moosavi, Wei Zhao, and Tristan
Miller, “Transforming
science with large language models: A survey on AI-assisted scientific
discovery, experimentation, content generation, and
evaluation,” arXiv preprint arXiv:2505.05151,
(2025).
Luo, Ziming, Zonglin Yang, Zexin Xu, Wei Yang, and Xinya Du, “LLM4SR: A survey on large
language models for scientific research,” arXiv preprint
arXiv:2501.04306, (2025).
Pataranutaporn, Pat, Nattavudh Powdthavee, Chayapatr Achiwaranguprok,
and Pattie Maes, “Can AI solve
the peer review crisis? A large scale cross model experiment of LLMs’
performance and biases in evaluating over 1000 economics
papers,” 2025.
Zhang, Tianmai M, and Neil F Abernethy, “Reviewing scientific papers
for critical problems with reasoning LLMs: Baseline approaches and
automatic evaluation,” arXiv preprint
arXiv:2505.23824, (2025).