Live data from Hacker News

Major AI conference flooded with peer reviews written by AI

nature.com

41–50 of 140 posts

Re: Major AI conference flooded with peer reviews written by AI

#41
Whether it’s actually 20% or not doesn’t matter, everyone is aware the signal of the top confs is in freefall.

There are also rings of reviewer fraud going on where groups of people in these niche areas all get assigned their own papers and recommend acceptance and in many cases the AC is part of this as well. Am not saying this is common but it is occurring.

It feels as if every layer of society is in maximum extraction mode and this is just a single example. No one is spending time to carefully and deeply review a paper because they care and they feel on principal that’s the right thing to do. People did used to do this.

Re: Major AI conference flooded with peer reviews written by AI

#42

Earlier quoted context omitted.

I have this problem with grading student papers. Like, I "know" a great deal of them are AI, but I just can't prove it, so therefore I can't really act on any suspicions because students can just say what you just said.

Why do you need proof anyway? Do you need proof that sentences are poorly constructed, misleading, or bloated? Why not just say “make it sound less like GPT” and let them deal with it?

You can have sentences that are perfectly fine but have some markers of ChatGPT like "it's not just X — it's Y" (which may or may not mean it's generated)

Re: Major AI conference flooded with peer reviews written by AI

#43

I wouldn't be surprised if the headline is accurate, but AI detectors are widely understood to be unreliable, and I see no evidence that this AI detector has overcome the well-deserved stigma.

The conference papers were 1%, peer reviews 20%, is there another reason for that big difference than more of the peer reviews being AI generated than the papers themselves?

We can't use this to convict a single reviewer, but we can almost surely say that many reviewers just gave the review work to an AI.

Re: Major AI conference flooded with peer reviews written by AI

#44
There is a lot of dislike for AI detection in these comments. Pangram labs (PL) claims very low false positive rates. Here's their own blog post on the research: https://www.pangram.com/blog/pangram-predicts-21-of-iclr-rev...

I increasingly see AI generated slop across the internet - on twitter, nytimes comments, blog/substack posts from smart people. Most of it is obvious AI garbage and it's really f*ing annoying. It largely has the same obnoxious style and really bad analogies. Here's an (impossible to realize) proposal: any time AI-generated text is used, we should get to see the whole interaction chain that led to its production. It would be like a student writing an essay who asks a parent or friend for help revising it. There's clearly a difference between revisions and substantial content contribution.

The notion that AI is ready to be producing research or peer reviews is just dumb. If AI correctly identifies flaws in a paper, the paper was probably real trash. Much of the time, errors are quite subtle. When I review, after I write my review and identify subtle issues, I pass the paper through AI. It rarely finds the subtle issues. (Not unlike a time it tried to debug my code and spent all its time focused on an entirely OK floating point comparison.)

For anecdotal issues with PL: I am working on a 500 word conference abstract. I spent a long while working on it but then dropped it into opus 4.5 to see what would happen. It made very minimal changes to the actual writing, but the abstract (to me) reads a lot better even with its minimal rearrangements. That surprises me. (But again, these were very minimal rearrangements: I provided ~550 words and got back a slightly reduced, 450 words.) Perhaps more interestingly, PL's characterizations are unstable. If I check the original claude output, I get "fully AI-generated, medium". If I drop in my further refined version (where I clean up claude's output), I get fully human. Some of the aspects which PL says characterize the original as AI-generated (particular n-grams in the text) are actually from my original work.

The realities are these: a) ai content sucks (especially in style); b) people will continue to use AI (often to produce crap) because doing real work is hard and everyone else is "sprinting ahead" using the semi-undetectable (or at least plausibly deniable) ai garbage; c) slowly the style of AI will almost certainly infect the writing style of actual people (ugh) - this is probably already happening; I think I can feel it in my own writing sometimes; d) AI detection may not always work, but AI-generated content is definitely proliferating. This *is* a problem, but in the long run we likely have few solutions.

Re: Major AI conference flooded with peer reviews written by AI

#45

Whether it’s actually 20% or not doesn’t matter, everyone is aware the signal of the top confs is in freefall. There are also rings of reviewer fraud going on where groups of people in these niche areas all get assigned their own papers and recommend acceptance and in many cases the AC is part of this as well. Am not saying this is common but it is occurring. It feels as if every layer of society is in maximum extrac…

The argument is that there is no incentive to carefully review a paper (I agree), however what used to occur is people would do the right thing without explicit incentives. This has totally disappeared.

Re: Major AI conference flooded with peer reviews written by AI

#46
post #24

> Pangram’s analysis revealed that around 21% of the ICLR peer reviews were fully AI-generated, and more than half contained signs of AI use. The findings were posted online by Pangram Labs. “People were suspicious, but they didn’t have any concrete proof,” says Spero. “Over the course of 12 hours, we wrote some code to parse out all of the text content from these paper submissions,” he adds. But what's the proof? Ho…

With AI model of course.

They wrote a paper describing how they did it. https://arxiv.org/pdf/2510.03154

Re: Major AI conference flooded with peer reviews written by AI

#47

I wouldn't be surprised if the headline is accurate, but AI detectors are widely understood to be unreliable, and I see no evidence that this AI detector has overcome the well-deserved stigma.

In particular, conference papers are already extremely formulaic, organized in a particular way and using a lot of the same stock phrasings and terms of art. AI or not, it's hard to tell them apart.

Its the reviews that were found to be AI, not the papers themselves. The papers were just 1% AI according to the tool, so it seems to work properly.

> AI or not, it's hard to tell them apart.

Apparently not for this tool.

Re: Major AI conference flooded with peer reviews written by AI

#48
post #6

While I think there's significant AI "offloading" in writing, the article's methodology relies on "AI-detectors," which reads like PR for Pangram. I don't need to explain why AI detectors are mostly bullshit and harmful for people who have never used LLMs. [1] 1: https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...

AI detectors are only harmful if you use them to convict people, it isn't harmful to gather statistics like this. They didn't find many AI written paper, just AI written peer reviews, which is what you would expect since not many would generate their whole paper submissions while peer reviews are thankless work.

Re: Major AI conference flooded with peer reviews written by AI

#49
post #6

While I think there's significant AI "offloading" in writing, the article's methodology relies on "AI-detectors," which reads like PR for Pangram. I don't need to explain why AI detectors are mostly bullshit and harmful for people who have never used LLMs. [1] 1: https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...

I am not sure if you are familiar with Pangram (co-founder here) but we are a group of research scientists who have made significant progress in this problem space. If your mental model of AI detectors is still GPTZero or the ones that say the declaration of independence is AI, then you probably haven't seen how much better they've gotten.

This paper by economists from the University of Chicago economists found zero false positives of 1,992 human-written documents and over 99% recall in detecting AI documents. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5407424

Re: Major AI conference flooded with peer reviews written by AI

#50

This is the kind of situation where everything sucks. You'd think that one of the biggest AI conference out there would have seen this coming. On the one hand (and the most important thing, IMO) it's really bad to judge people on the basis of "AI detectors", especially when this can have an impact on their career. It's also used in education, and that sucks even more. AI detectors have bad rates, can't detect concent…

It also permeates culture to the point that people imitate the LLM style because they believe that's just what you have to do to get your post noticed. The worst offender is that LinkedIn type post

Where you purposefully put spaces.

Like this.

And the clicker is?

You get my point. I don't see a way out of this in the social media context because it's just spam. Producing the slop takes an order of magnitude less effort than parsing it. But when it comes to peer reviews and papers I think some kind of reputation system might help. If you get caught doing this shit you need to pay some consequence.

Post reply on HN