arXiv：cs.AI· Ana Tri\v{s}ovi\'c, Alex Fogelson, Janakan Sivaloganathan, Neil Thompson·· 4 小时前AI 评分47
研究：科学界采用基础模型的速度远落后于前沿进展
Science Is Falling Behind the Frontier: Foundation Model Adoption Across Half a Million Papers
AI 导读
一项对50万篇论文的大规模分析发现，科学界对AI基础模型的采用正以接近指数的速度增长，语言学、计算机科学与工程领域采用率最高，视觉模型使用最多，开放权重模型占主导。2015年科学界采用的基础模型平均比业界构建的模型大5.4倍，到2024年这一关系反转，业界构建的模型平均比科学界采用的模型大6.9倍。使用更大模型的论文更易发表于高影响力期刊并获得更多引用。
正文
Abstract:We present the first large-scale analysis of AI foundation model usage in science -- not just citations or keywords. We find that adoption has grown rapidly, at nearly-exponential rates, with the highest uptake in Linguistics, Computer Science, and Engineering. Vision models are the most used foundation models in science, although language models' share is growing. Open-weight models dominate. As AI builders increase the parameter counts of their models, scientists have followed suit but at a much slower rate: in 2015, the mean foundation model adopted in science was 5.4x larger than the mean model being built; by 2024 that relationship had reversed, with the mean model built 6.9x larger than the mean model adopted. We also present suggestive evidence that scientists' use of these smaller models may be limiting them from getting the full benefits of AI-enabled science, as papers that use larger models appear in higher-impact journals and accrue more citations.
| Comments: | 22 pages (8 main text), 6 figures, 3 tables. Accepted to the AI for Meta-Science (AI4MetaScience) Workshop at NeurIPS 2026 |
| Subjects: | Digital Libraries (cs.DL); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2511.21739 [cs.DL] |
| (or arXiv:2511.21739v2 [cs.DL] for this version) | |
| https://doi.org/10.48550/arXiv.2511.21739 arXiv-issued DOI via DataCite |
Submission history
From: Alexander Fogelson [view email]
[v1]
Fri, 21 Nov 2025 19:00:15 UTC (583 KB)
[v2]
Fri, 2 Oct 2026 16:38:42 UTC (569 KB)
来源：arXiv：cs.AI · arxiv.org