A new modeling study predicts that the increasing use of large language models (LLMs) in scientific research will lead to a rise in the number of published papers, but at the cost of overall quality. The research suggests this outcome is driven by existing incentives within academic publishing.
The study, published online on July 31, 2026, indicates that combining incentives to publish with LLM usage will result in more publications being produced. However, these papers are expected to be less refined than those created without the assistance of such models.
The research does not elaborate on *how* LLMs specifically lower quality, but points to a systemic issue: the current academic system prioritizes quantity over quality. The study’s findings suggest that LLMs will exacerbate this existing trend, leading to a flood of publications that may lack the rigor and depth of traditionally authored work.
We don't rate truth. We strip the spin and show you which perspectives covered the story. You decide.
Read the original coverage
💬 Comments
📜 Comment Policy