This is as much a failing of "peer review" as anything. Importantly, it is an intrinsic failure, which won't go away even if LLMs were to go away completely. Peer review doesn't catch errors. Acting as if it does, and thus assuming the fact of publication (and where it was published) are indicators of veracity is simply unfounded. We need to go back to the food fight system where everyone publishes whatever they want…
Over fifty new hallucinations in ICLR 2026 submissions
181–190 of 442 posts
Re: Over fifty new hallucinations in ICLR 2026 submissions
#182Earlier quoted context omitted.
I’ve reviewed a lot of papers, I don’t consider it the reviewers responsibility to manually verify all citations are real. If there was an unusual citation that was relied on heavily for the basis of the work, one would expect it to be checked. Things like broad prior work, you’d just assume it’s part of background. The reviewer is not a proofreader, they are checking the rigour and relevance of the work, which does…
> The reviewer is not a proofreader, they are checking the rigour and relevance of the work, which does not rest heavily on all of the references in a document. I've always assumed peer review is similar to diff review. Where I'm willing to sign my name onto the work of others. If I approve a diff/pr and it takes down prod. It's just as much my fault, no? > They are also assuming good faith. I can only relate this to…
Re: Over fifty new hallucinations in ICLR 2026 submissions
#183Earlier quoted context omitted.
That's beside the point. While there may be many reasonable critiques of AI, none of them reduce the responsibilities of scientist.
>While there many reasonable critiques of AI But you just said we weren’t supposed to criticize the purveyors of AI or the tools themselves.
Re: Over fifty new hallucinations in ICLR 2026 submissions
#184(I'm on mobile, haven't looked on desktop.)
Re: Over fifty new hallucinations in ICLR 2026 submissions
#185Earlier quoted context omitted.
I’ve reviewed a lot of papers, I don’t consider it the reviewers responsibility to manually verify all citations are real. If there was an unusual citation that was relied on heavily for the basis of the work, one would expect it to be checked. Things like broad prior work, you’d just assume it’s part of background. The reviewer is not a proofreader, they are checking the rigour and relevance of the work, which does…
> The reviewer is not a proofreader, they are checking the rigour and relevance of the work, which does not rest heavily on all of the references in a document. I've always assumed peer review is similar to diff review. Where I'm willing to sign my name onto the work of others. If I approve a diff/pr and it takes down prod. It's just as much my fault, no? > They are also assuming good faith. I can only relate this to…
Re: Over fifty new hallucinations in ICLR 2026 submissions
#186https://blog.iclr.cc/2025/11/19/iclr-2026-response-to-llm-ge... > Papers that make extensive usage of LLMs and do not disclose this usage will be desk rejected. This sounds like they're endorsing the game of how much can we get away with, towards the goal of slipping it past the reviewers , and the only penalty is that the bad paper isn't accepted. How about "Papers suspected of fabrications, plagiarism, ghost writer…
1. "Suspected" is just that, suspected, you can't penalize papers based on your gut feel 2. LLM-s are a tool, and there's nothing wrong with using them unless you misuse them
Re: Over fifty new hallucinations in ICLR 2026 submissions
#187Earlier quoted context omitted.
I'm an industrial electrician. A lot of poor electrical work is visible only to a fellow electrician, and sometimes only another industrial electrician. Bad technical work requires technical inspectors to criticize. Sometimes highly skilled ones.
I’ve reviewed a lot of papers, I don’t consider it the reviewers responsibility to manually verify all citations are real. If there was an unusual citation that was relied on heavily for the basis of the work, one would expect it to be checked. Things like broad prior work, you’d just assume it’s part of background. The reviewer is not a proofreader, they are checking the rigour and relevance of the work, which does…
Re: Over fifty new hallucinations in ICLR 2026 submissions
#188Earlier quoted context omitted.
>While there many reasonable critiques of AI But you just said we weren’t supposed to criticize the purveyors of AI or the tools themselves.
No, I merely said that the scientist is the one responsible for the quality of their own work. Any critiques you may have for the tools which they use don't lessen this responsibility.
No, you expressed unqualified agreement with a comment containing
“And yet, we’re not supposed to criticize the tool or its makers?”
>Any critiques you may have for the tools which they use don't lessen this responsibility.
People don’t exist or act in a vacuum. That a scientist is responsible for the quality of their work doesn’t mean that a spectrometer manufacture that advertises specs that their machines can’t match and induces universities through discounts and/or dubious advertising claims to push their labs to replace their existing spectrometers with new ones which have many bizarre and unexpected behaviors including but not limited to sometimes just fabricating spurious readings has made no contribution to the problem of bad results.
Re: Over fifty new hallucinations in ICLR 2026 submissions
#189Earlier quoted context omitted.
Surely there are tools to retrieve all the citations, publishers should spot it easily. However the paper is submitted, like a folder on a cloud drive, just have them include a folder with PDFs/abstracts of all the citations? They might then fraudulently produce papers to cite, but they can't cite something that doesn't exist.
how delightfully optimistic of you to think those abstracts would not also be ai generated ...
Re: Over fifty new hallucinations in ICLR 2026 submissions
#190If a carpenter builds a crappy shelf “because” his power tools are not calibrated correctly - that’s a crappy carpenter, not a crappy tool. If a scientist uses an LLM to write a paper with fabricated citations - that’s a crappy scientist. AI is not the problem, laziness and negligence is. There needs to be serious social consequences to this kind of thing, otherwise we are tacitly endorsing it.
It's both. The tool is crappy, and the carpenter is crappy for blindly trusting it.
> AI is not the problem, laziness and negligence is.
Similarly, both are a problem here. LLMs are a bad tool, and we should hold people responsible when they blindly trust this bad tool and get bad results.