Research proposals showing stronger signs of AI-assisted writing were about four percentage points more likely to receive support from the U.S. National Institutes of Health, the researchers found. The study, led by Dashun Wang and Yifan Qian, examined the growing use of large language models in U.S. federal research funding. The researchers found no statistically significant relationship between AI use and either funding success or the number of follow-on publications. Large language models, trained on enormous collections of written material, may help applicants reproduce those established formats, sharpen their explanations and align their arguments with implicit expectations in peer review. Subject of Research: The influence of large language models and AI-assisted writing on U.S. federal scientific research funding, proposal originality and research outcomes.