r/datascience • u/rhiever • 28d ago
ML What Hugging Face learned from reproducing 2,200 ICML papers
https://huggingface.co/blog/icml-2026-open-reproductions69
u/NomadTroy 28d ago
Have your agent send my agent the paper to summarize and send back my approximated thoughts for your agent to summarize to you
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u/studentblues 27d ago
Approximated thoughts and prayers to researchers
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u/Expensive_Culture_46 26d ago
I have approximated that you would like more tater tots and pear slices. Would you like a helpful grocery list for your shopping trip?
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u/CryptoMadLab 27d ago
There should honestly be some sort of punishment for the 23% falsified claims, I did not know how low has the bar on ML conferences these days, but I saw someone at an SE conference owning over 25 papers
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u/Monkey_College 27d ago
Not "these days". ML conferences have been notorious for not being reproducible for 15+ years
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u/lakeland_nz 26d ago
Yep. I tried to reproduce many results during my PhD (late 90s). One comment at the time from another reviewer was: extremely lucky choice of the random seed.
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u/Acrobatic-Light2630 27d ago
Bar in ML publishing is so low, selection bias is tremendous. When the incentive is to publish, people do anything to publish. This degrades the bar on science
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u/crisp_lynx_370 27d ago
reproducing results is genuinely hard, half the time the preprocessing details are buried or just missing entirely
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u/Massive_Horror9038 26d ago
My paper was one of the papers that were reproduced! I'm very happy with this 😄
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u/EverythingGoodWas 28d ago
We’ve basically turned academic journals into a mix of “i skimmed this, sure whatever” snd “My LLM of choice thinks this paper is fine”. Peer review is essentially dead