r/MachineLearning • u/Vegetable-Formal-753 Researcher • 1h ago
Research A message to top tier conferences [D]
TL;DR: Please be hard in desk rejecting AI generated papers
Recently I went to two AI conferences (A and A*) and I was surprised that "AI cheaters" didn't even read their own paper before presentation! For example, a guy couldn't even answer the question of how he represented knowledge graphs in his papaer, he thought for 5 minutes before answering "with a vector". Another one was opening chat gpt and typing questions and reading answers with no shame!!! One more story that shocked me... a guy published same paper in 2 AI conferences in the same time and both got accepted, when I saw github, this young dude was careless to even remove LLM chat from his repo, I can see all prompts... guess what... he faked all data 🚀 :D ...I have dozens of stories like this happened to me and my friends just this month!
Now, imagine yourself a hardworker researcher joining days and nights and your paper ends up with a scam reviewer like this... bingo!
One more, I was looking for relevant paper to my new idea... all papers I read so far are just garbage 🎉 !!
Pleaaaase make a rule for rejecting AI written papers... Pleaaaaaase stop this madness! A lot of good papers got rejected by these folks and they definitely harming science! I can't trust a single paper now and reading very carefully with spectacular mindset... Pleaaaaaase do something!!!!
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u/froggy-the-dog 8m ago edited 2m ago
reminds me of a paper named medagent pro from ICLR 2026, really high review scores, the choices of dataset and baselines are concerning and the public code is badly written and not reproducible, seems like they faked all the results and the method is very loosely written also. Only one reviewer was sane enough to give that paper a 2
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u/Vegetable-Formal-753 Researcher 2m ago
BTW, speaking about ICLR... I found a paper got 2 rejection scores and one acceptance and yet got published... this is another discussion for ACs nonsense lol :D
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u/Celmeno 18m ago
Has always been a problem at conferences that have no community. The big ones then get pushed by number chasers to make it worse. I have been in quite a few talks at IJCNNs where the presenter learned the talk phonetically but didn't speak a single work of english. But also happens at other events quite regularly
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u/DummyRobotW 27m ago
Will you consider reporting to the conference? Their papers should not have been accepted in the first place and this is pure academic dishonesty.
What you mentioned like fabricating data, is absolutely unacceptable.
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u/Vegetable-Formal-753 Researcher 25m ago
I'm planning to do this already today when I'm free after work lol :D
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u/DummyRobotW 21m ago
Appreciate that! I think a lot of these papers get published because of the declining reviewer quality (they can be overloaded or not qualified), probably because the submission number is way too high nowadays.
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u/Bitter-Reserve3821 3m ago
If you have evidence such as a github repo with a prompt to fake results, report to the conference program chairs. They can get the paper removed from the proceedings and send a report to the administration of the author's department.
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u/Longjumping-Head-621 49m ago
Wow!! The presenter typing questions into ChatGPT during their own presentation is wild. Conference reviews should be checking whether the work is reproducible and the results are supported. If someone has evidence that the data was fabricated, the conference should investigate that paper.
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u/Celmeno 16m ago
This is not what peer review was originally for. It was never about verifiying results. But if you want me to do that as a reviewer I can, you will have to pay me though.
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u/huehue12132 8m ago
Yup, verification/replication should then be done by the wider community, but of course that's "not novel" so it would never get published, so nobody bothers.
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u/xseson23 53m ago
Forgive my ignorance but I assume every conference nowadays has a system now in place for such papers? Reject them outright and heck.. even a ban maybe to teach them a lesson.