ArXiv, a widely used open repository for preprint research, is doing more to crack down on the careless use of large language models in scientific papers.
Although papers are posted to the site before they are peer-reviewed, arXiv (pronounced “archive”) has become one of the main ways that research circulates in fields like computer science and math, and the site itself has become a source of data on trends in scientific research.
ArXiv has already taken steps to combat a growing number of low-quality, AI-generated papers, for example by requiring first-time posters to get an endorsement from an established author. And after being hosted by Cornell for more than 20 years, the organization is becoming an independent nonprofit, which should allow it to raise more money to address issues like AI slop.
In its latest move, Thomas Dietterich — the chair of arXiv’s computer science section — posted Thursday that “if a submission contains incontrovertible evidence that the authors did not check the results of LLM generation, this means we can’t trust anything in the paper.”
That incontrovertible evidence could include things like “hallucinated references” and comments to or from the LLM, Dietterich said. If such evidence is found, a paper’s authors will face “a 1-year ban from arXiv followed by the requirement that subsequent arXiv submissions must first be accepted by a reputable peer-reviewed venue.”
Note that this isn’t an outright prohibition on using LLMs, but rather an insistence that, as Dietterich put it, authors take “full responsibility” for the content, “irrespective of how the contents are generated.” So if researchers copy-paste “inappropriate language, plagiarized content, biased content, errors, mistakes, incorrect references, or misleading content” directly from an LLM, then they’re still responsible for it.
Dietterich told 404 Media that this will be a “one-strike” rule, but moderators must flag the issue and section chairs must confirm the evidence before imposing the penalty. Authors will also be able to appeal the decision.
Recent peer-reviewed research has found that fabricated citations are on the rise in biomedical research, likely due to LLMs — though to be fair, scientists aren’t the only ones getting caught using citations that were made up by AI.
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Frequently Asked Questions
Preprint research ka widely used open repository (pronounced "archive") — computer science aur math mein research circulate karne ka main tareeqa; 20+ saal Cornell ne host kiya, ab independent nonprofit ban raha hai.
arXiv se 1 saal ka ban plus requirement ke baad ki submissions pehle reputable peer-reviewed venue se accept hon.
Incontrovertible evidence ke authors ne LLM output check nahi kiya — hallucinated references, LLM ko/di gayi comments.
Nahi — authors ko content ki full responsibility leni hoti hai chahe wo kaisay generate hua; LLM se inappropriate language, plagiarized/biased content, errors ya incorrect references copy-paste karne par wo zimmedar hain.
