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Over fifty new hallucinations in ICLR 2026 submissions

gptzero.me

131–140 of 442 posts

Re: Over fifty new hallucinations in ICLR 2026 submissions

#131
post #27

Earlier quoted context omitted.

LLM are a force multiplier of this kind of errors though. It's not easy to hallucinate papers out of whole cloth, but LLMs can easily and confidently do it, quote paragraphs that don't exist, and do it tirelessly and at a pace unmatched by humans. Humans can do all of the above but it costs them more, and they do it more slowly. LLMs generate spam at a much faster rate.

>It's not easy to hallucinate papers out of whole cloth, but LLMs can easily and confidently do it, quote paragraphs that don't exist, and do it tirelessly and at a pace unmatched by humans. But no one is claiming these papers were hallucinated whole, so I don't see how that's relevant. This study -- notably to sell an "AI detector", which is largely a laughable snake-oil field -- looked purely at the accuracy of cit…

I've zero interest in the AI tool, I'm discussing the broader problem.

The references were made up, and this is easier and faster to do with LLMs than with humans. Easier to do inadvertently, too.

As I said, LLMs are a force multiplier for fraud and inadvertent errors. So it's a big deal.

Re: Over fifty new hallucinations in ICLR 2026 submissions

#132
post #61

Earlier quoted context omitted.

Fabricated citations are not errors. A pre LLM paper with fabricated citations would demonstrate will to cheat by the author. A post LLM paper with fabricated citations: same thing and if the authors attempt to defend themselves with something like, we trusted the AI, they are sloppy, probably cheaters and not very good at it.

>Fabricated citations are not errors. Interesting that you hallucinated the word "fabricated" here where I broadly talked about errors. Humans, right? Can't trust them. Firstly, just about every paper ever written in the history of papers has errors in it. Some small, some big. Most accidental, but some intentional. Sometimes people are sloppy keeping notes, transcribe a row, get a name wrong, do an offset by 1. Some…

> Firstly, just about every paper ever written in the history of papers has errors in it

LLMs make it easier and faster, much like guns make killing easier and faster.

Re: Over fifty new hallucinations in ICLR 2026 submissions

#133

Earlier quoted context omitted.

> This is true, but here the equivalent situation is someone using a greek question mark (";") instead of a semicolon (";"), No it's not. I think you're trying to make a different point, because you're using an example of a specific deliberate malicious way to hide a token error that prevents compilation, but is visually similar. > and you as a code reviewer are only expected to review the code visually and are not p…

you have completely missed the point of the analogy. breaking the analogy beyond the point where it is useful by introducing non-generalising specifics is not a useful argument. Otherwise I can counter your more specific non-generalising analogy by introducing little green aliens sabotaging your imaginary CI with the same ease and effect.

I disagree you could do that and claim to be reasonable.

But I agree, because I'd rather discuss the pragmatics and not bicker over the semantics about an analogy.

Introducing a token error, is different from plagiarism, no? Someone wrote code that can't compile, is different from someone "stealing" proprietary code from some company, and contributing it to some FOSS repo?

In order to assume good faith, you also need to assume the author is the origin. But that's clearly not the case. The origin is from somewhere else, and the author that put their name on the paper didn't verify it, and didn't credit it.

Re: Over fifty new hallucinations in ICLR 2026 submissions

#134

Earlier quoted context omitted.

> as a code reviewer [you] are only expected to review the code visually and are not provided the resources required to compile the code on your local machine to see the compiler fail. As a PR reviewer I frequently pull down the code and run it. Especially if I'm suggesting changes because I want to make sure my suggestion is correct. Do other PR reviewers not do this?

I do too, but this is a conference, I doubt code was provided. And even then, what you're describing isn't review per se, it's replication. In principle there are entire journals that one can submit replication reports to, which count as actual peer reviewable publications in themselves. So one needs to be pragmatic with what is expected from a peer review (especially given the imbalance between resources invested to…

> I do too, but this is a conference, I doubt code was provided.

Machine learning conferences generally encourage (anonymized) submission of code. However, that still doesn't mean that replication is easy. Even if the data is also available, replication of results might require impractical levels of compute power; it's not realistic to ask a peer reviewer to pony up for a cloud account to reproduce even medium-scale results.

Re: Over fifty new hallucinations in ICLR 2026 submissions

#135

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.

“X isn’t the problem, people are the problem.” — the age-old cry of industry resisting regulation.

Re: Over fifty new hallucinations in ICLR 2026 submissions

#136
post #65

Earlier quoted context omitted.

Regardless, if a carpenter is not validating their work before selling it, it's the same as if a researcher doesn't validate their citations before publishing. Neither of them have any excuses, and one isn't harder to detect than the other. It's just straight up laziness regardless.

I think this is a bit unfair. The carpenters are (1) living in world where there’s an extreme focus on delivering as quicklyas possible, (2) being presented with a tool which is promised by prominent figures to be amazing, and (3) the tool is given at a low cost due to being subsidized. And yet, we’re not supposed to criticize the tool or its makers? Clearly there’s more problems in this world than «lazy carpenters»?

I use those LLM "deep research" modes every now and then. They can be useful for some use cases. I'd never think to freaking paste it into a paper and submit it or publish it without checking; that boggles the mind.

The problem is that a researcher who does that is almost guaranteed to be careless about other things too. So the problem isn't just the LLM, or even the citations, but the ambient level of acceptable mediocrity.

Re: Over fifty new hallucinations in ICLR 2026 submissions

#137

Earlier quoted context omitted.

This is true, but here the equivalent situation is someone using a greek question mark (";") instead of a semicolon (";"), and you as a code reviewer are only expected to review the code visually and are not provided the resources required to compile the code on your local machine to see the compiler fail. Yes in theory you can go through every semicolon to check if it's not actually a greek question mark; but one as…

> as a code reviewer [you] are only expected to review the code visually and are not provided the resources required to compile the code on your local machine to see the compiler fail. As a PR reviewer I frequently pull down the code and run it. Especially if I'm suggesting changes because I want to make sure my suggestion is correct. Do other PR reviewers not do this?

> Do other PR reviewers not do this?

Some do, many, (like peer reviewers), are unable to consider the consequences of their negligence.

But it's always a welcome reminder that some people care about doing good work. That's easy to forget browsing HN, so I appreciate the reminder :)

Re: Over fifty new hallucinations in ICLR 2026 submissions

#138

Earlier quoted context omitted.

They explain in the article what they consider a proper citation, an erroneous one and an hallucination, in the section "Defining Hallucitations". They also say than they have many false positives, mostly real papers who are not available online. Thad said, i am also very curious of the result than their tool, would give to papers from the 2010's and before.

If you look at their examples in the "Defining Hallucitations" section, I'd say those could be 100% human errors. Shortening authors' names, leaving out authors, misattributing authors, misspelling or misremembering the paper title (or having an old preprint-title, as titles do change) are all things that I would fully expect to happen to anyone in any field were things get ever got published. Modern tools have made…

> Modern tools have made the citation process more comfortable,

That also makes some of those errors easier. A bad auto-import of paper metadata can silently screw up some of the publication details, and replacing an early preprint with the peer-reviewed article of record takes annoying manual intervention.

Re: Over fifty new hallucinations in ICLR 2026 submissions

#139
post #48

Earlier 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 idea that references in a scientific paper should be plentiful but aren't really that important, is a consequence of a previous technological revolution: the internet. You'll find a lot of papers from, say, the '70s, with a grand total of maybe 10 references, all of them to crucial prior work, and if those references don't say what the author claims they should say (e.g. that the particular method that is employe…

Whether in the 1970s or now, it's too often the case that a paper says "Foo and Bar are X" and cites two sources for this fact. You chase down the sources, the first one says "We weren't able to determine whether Foo is X" and never mentions Bar. The second says "Assuming Bar is X, we show that Foo is probably X too".

The paper author likely believes Foo and Bar are X, it may well be that all their co-workers, if asked, would say that Foo and Bar are X, but "Everybody I have coffee with agrees" can't be cited, so we get this sort of junk citation.

Hopefully it's not crucial to the new work that Foo and Bar are in fact X. But that's not always the case, and it's a problem that years later somebody else will cite this paper, for the claim "Foo and Bar are X" which it was in fact merely citing erroneously.

Re: Over fifty new hallucinations in ICLR 2026 submissions

#140
post #65

Earlier quoted context omitted.

I think this is a bit unfair. The carpenters are (1) living in world where there’s an extreme focus on delivering as quicklyas possible, (2) being presented with a tool which is promised by prominent figures to be amazing, and (3) the tool is given at a low cost due to being subsidized. And yet, we’re not supposed to criticize the tool or its makers? Clearly there’s more problems in this world than «lazy carpenters»?

> And yet, we’re not supposed to criticize the tool or its makers? Exactly, they're not forcing anyone to use these things, but sometimes others (their managers/bosses) forced them to. Yet it's their responsibility for choosing the right tool for the right problem, like any other professional. If a carpenter shows up to put a roof yet their hammer or nail-gun can't actually put in nails, who'd you blame; the tool, th…

> If a carpenter shows up to put a roof yet their hammer or nail-gun can't actually put in nails, who'd you blame; the tool, the toolmaker or the carpenter?

I would be unhappy with the carpenter, yes. But if the toolmaker was constantly over-promising (lying?), lobbying with governments, pushing their tools into the hands of carpenters, never taking responsibility, then I would also criticize the toolmaker. It’s also a toolmaker’s responsibility to be honest about what the tool should be used for.

I think it’s a bit too simplistic to say «AI is not the problem» with the current state of the industry.

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