45 citations · 46 across the 7 of their papers we have counts for
3 papers · 1 filter
A robust association between LLM use and scientific productivity: Assessing stopping-time selection
Keigo Kusumegi, Xinyu Yang, Paul Ginsparg +3
Renault, Bergeaud, and Bosquet (hereafter RBB) argue that dating LLM adoption as the first month in which an author's abstract is flagged induces a stopping-time selection that can…
Human-AI Collaboration in Science at Scale: A Global Large-scale Randomized Field Experiment
Binglu Wang, Weixin Liang, Jiahui Xue +4
Collaboration is the defining mode of modern science, yet its core mechanism -- feedback -- remains hard to observe, difficult to scale, and unequally distributed. Here we test whe…
LLM hallucinations in the wild: Large-scale evidence from non-existent citations
Zhenyue Zhao, Yihe Wang, Toby Stuart +3
Large language models (LLMs) are known to generate plausible but false information across a wide range of contexts, yet the real-world magnitude and consequences of this hallucinat…