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GPTZero finds 100 new hallucinations in NeurIPS 2025 accepted papers

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Re: GPTZero finds 100 new hallucinations in NeurIPS 2025 accepted papers

#342
post #238

I spot-checked one of the flagged papers (from Google, co-authored by a colleague of mine) The paper was https://openreview.net/forum?id=0ZnXGzLcOg and the problem flagged was "Two authors are omitted and one (Kyle Richardson) is added. This paper was published at ICLR 2024." I.e., for one cited paper, the author list was off and the venue was wrong. And this citation was mentioned in the background section of the pa…

The thing is, when you copy paste a bibliography entry from the publisher or from Google Scholar, the authors won't be wrong. In this case, it is. If I were to write a paper with AI, I would at least manage the bibliography by hand, conscious of hallucinations. The fact that the hallucination is in the bibliography is a pretty strong indicator that the paper was written entirely with AI.

Google Scholar provides imperfect citations - very often wrong article type (eg article versus conference paper), but up to and including missing authors, in my experience.

Re: GPTZero finds 100 new hallucinations in NeurIPS 2025 accepted papers

#343
post #77

Earlier quoted context omitted.

I think a _single_ instance of an LLM hallucination should be enough to retract the whole paper and ban further submissions.

For example, authors may have given an LLM a partial description of a citation and asked the LLM to produce bibtex This is equivalent to a typo. I’d like to know which “hallucinations” are completely made up, and which have a corresponding paper but contain some error in how it’s cited. The latter I don’t think matters.

It's not the equivalent of a typo. A typo would be immediately apparent to the reader. This is a semantic error that is much less likely to be caught by the reader.

Re: GPTZero finds 100 new hallucinations in NeurIPS 2025 accepted papers

#344
post #238

I spot-checked one of the flagged papers (from Google, co-authored by a colleague of mine) The paper was https://openreview.net/forum?id=0ZnXGzLcOg and the problem flagged was "Two authors are omitted and one (Kyle Richardson) is added. This paper was published at ICLR 2024." I.e., for one cited paper, the author list was off and the venue was wrong. And this citation was mentioned in the background section of the pa…

The missing analysis is, of course, a comparison with pre-LLM conferences, like 2022 or 2023 that would show a “false positive” rate for the tool.

Re: GPTZero finds 100 new hallucinations in NeurIPS 2025 accepted papers

#345
The most striking part of the report isn't just the 100 hallucinations—it’s the "submission tsunami" (220% increase since 2020) that made this possible. We’re seeing a literal manifestation of a system being exhausted by simulation.

When a reviewer is outgunned by the volume of generative slop, the structure of peer review collapses because it was designed for human-to-human accountability, not for verifying high-speed statistical mimicry. In these papers, the hallucinations are a dead giveaway of a total decoupling of intelligence from any underlying "self" or presence. The machine calculates a plausible-looking citation, and an exhausted reviewer fails to notice the "Soul" of the research is missing.

It feels like we’re entering a loop where the simulation is validated by the system, which then becomes the training data for the next generation of simulation. At that point, the human element of research isn't just obscured—it's rendered computationally irrelevant.

Re: GPTZero finds 100 new hallucinations in NeurIPS 2025 accepted papers

#347

Earlier quoted context omitted.

>this error does make me pause to wonder how much of the rest of the paper used AI assistance And this is what's operative here. The error spotted, the entire class of error spotted, is easily checked/verified by a non-domain expert. These are the errors we can confirm readily, with obvious and unmistakable signature of hallucination. If these are the only errors, we are not troubled. However: we do not know if these…

This seems like finding spelling errors and using them to cast the entire paper into doubt. I am unconvinced that the particular error mentioned above is a hallucination, and even less convinced that it is a sign of some kind of rampant use of AI. I hope to find better examples later in the comment section.

What's the big deal with one dead canary? This coal mine's productivity is at record highs!

Re: GPTZero finds 100 new hallucinations in NeurIPS 2025 accepted papers

#348

Earlier quoted context omitted.

>this error does make me pause to wonder how much of the rest of the paper used AI assistance And this is what's operative here. The error spotted, the entire class of error spotted, is easily checked/verified by a non-domain expert. These are the errors we can confirm readily, with obvious and unmistakable signature of hallucination. If these are the only errors, we are not troubled. However: we do not know if these…

The problem is, 10 years ago when I was still publishing even I would let an incorrect citation go through b/c of an old bibtex file or some such.

Yeah, errors of omission are so common that "Errors and Omissions" is a category of professional liability insurance.

Re: GPTZero finds 100 new hallucinations in NeurIPS 2025 accepted papers

#349
post #260

Earlier quoted context omitted.

> Between 2020 and 2025, submissions to NeurIPS increased more than 220% from 9,467 to 21,575. In response, organizers have had to recruit ever greater numbers of reviewers, resulting in issues of oversight, expertise alignment, negligence, and even fraud. I don’t think the point being made is “errors didn’t happen pre-GPT”, rather the tasks of detecting errors have become increasingly difficult because of the associ…

> rather the tasks of detecting errors have become increasingly difficult because of the associated effects of GPT. Did the increase to submissions to NeurIPS from 2020 to 2025 happen because ChatGPT came out in November of 2022? Or was AI getting hotter and hotter during this period, thereby naturally increasing submissions to ... an AI conference?

I was an area chair on the NeurIPS program committee in 1997. I just looked and it seems that we had 1280 submissions. At that time, we were ultimately capped by the book size that MIT Press was willing to put out - 150 8-page articles. Back in 1997 we were all pretty sure we were on to something big.

I'm sure people made mistakes on their bibliographies at that time as well!

And did we all really dig up and read Metropolis, Rosenbluth, Rosenbluth, Teller, and Teller (1953)?

Edited to add: Someone made a chart! Here: https://papercopilot.com/statistics/neurips-statistics/

You can see the big bump after the book-length restriction was lifted, and the exponential rise starting ~2016.

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