If 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.
Over fifty new hallucinations in ICLR 2026 submissions
51–60 of 442 posts
Re: Over fifty new hallucinations in ICLR 2026 submissions
#52Earlier 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…
After all, their grant covers their thesis, not their thesis plus all of the theses they cite.
Re: Over fifty new hallucinations in ICLR 2026 submissions
#53https://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…
Re: Over fifty new hallucinations in ICLR 2026 submissions
#54Earlier 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…
I guess this explains all those times over the years where I follow a citation from a paper and discover it doesn’t support what the first paper claimed.
Re: Over fifty new hallucinations in ICLR 2026 submissions
#55Earlier quoted context omitted.
If I gave you a gun would you start shooting people just because you had one?
If I gave you a gun without a safety could you be the one to blame when it goes off because you weren’t careful enough? The problem with this analogy is that it makes no sense. LLMs aren’t guns. The problem with using them is that humans have to review the content for accuracy. And that gets tiresome because the whole point is that the LLM saves you time and effort doing it yourself. So naturally people will tend to…
But regardless, I thought the point was that...
> The problem with using them is that humans have to review the content for accuracy.
There are (at least) two humans in this equation. The publisher, and the reader. The publisher at least should do their due diligence, regardless of how "hard" it is (in this case, we literally just ask that you review your OWN CITATIONS that you insert into your paper). This is why we have accountability as a concept.
Re: Over fifty new hallucinations in ICLR 2026 submissions
#56If 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 like the problem was there all along, all LLMs did was expose it more
Modern science is designed from the top to the bottom to produce bad results. The incentives are all mucked up. It's absolutely not surprising that AI is quickly becoming yet-another factor lowering quality.
Re: Over fifty new hallucinations in ICLR 2026 submissions
#57Earlier quoted context omitted.
If I gave you a gun would you start shooting people just because you had one?
If I gave you a gun without a safety could you be the one to blame when it goes off because you weren’t careful enough? The problem with this analogy is that it makes no sense. LLMs aren’t guns. The problem with using them is that humans have to review the content for accuracy. And that gets tiresome because the whole point is that the LLM saves you time and effort doing it yourself. So naturally people will tend to…
If someone performs a negligent discharge, they are responsible, not Glock. It does have other safety mechanisms to prevent accidental fires not resulting from a trigger pull.
Re: Over fifty new hallucinations in ICLR 2026 submissions
#58If 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.
> If a scientist uses an LLM to write a paper with fabricated citations - that’s a crappy scientist. Really? Regardless of whether it's a good paper?
Re: Over fifty new hallucinations in ICLR 2026 submissions
#59Earlier quoted context omitted.
If I gave you a gun would you start shooting people just because you had one?
If I gave you a gun without a safety could you be the one to blame when it goes off because you weren’t careful enough? The problem with this analogy is that it makes no sense. LLMs aren’t guns. The problem with using them is that humans have to review the content for accuracy. And that gets tiresome because the whole point is that the LLM saves you time and effort doing it yourself. So naturally people will tend to…
Absolutely. Many guns don't have safties. You don't load a round in the chamber unless you intend on using it.
A gun going off when you don't intend is a negligent discharge. No ifs, ands or buts. The person in possession of the gun is always responsible for it.
Re: Over fifty new hallucinations in ICLR 2026 submissions
#60Earlier 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…