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Tortured conference series thriving in computer science

72 点作者 wjb3超过 1 年前

10 条评论

jldugger超过 1 年前
Apparently much of the IEEE trouble is ICERECT[1], which as best I can tell, is primarily for papers rejected elsewhere. Filtering the dataset from the article[2] down to just this one paper[3] from that conference helps illustrate the point.<p>The suggesting elsewhere on thread that this could be LLM driven seems unlikely -- &quot;bosom disease&quot; is not a common pairing of words in the English language corpus, but &quot;breast cancer&quot; is.<p>[1]: <a href="http:&#x2F;&#x2F;www.pesceconference.in" rel="nofollow noreferrer">http:&#x2F;&#x2F;www.pesceconference.in</a><p>[2]: <a href="https:&#x2F;&#x2F;dbrech.irit.fr&#x2F;pls&#x2F;apex&#x2F;f?p=9999:24" rel="nofollow noreferrer">https:&#x2F;&#x2F;dbrech.irit.fr&#x2F;pls&#x2F;apex&#x2F;f?p=9999:24</a><p>[3]: <a href="https:&#x2F;&#x2F;pubpeer.com&#x2F;publications&#x2F;2A7F7A96A9E42D48FCAA5DA65489C0" rel="nofollow noreferrer">https:&#x2F;&#x2F;pubpeer.com&#x2F;publications&#x2F;2A7F7A96A9E42D48FCAA5DA6548...</a>
lamerose超过 1 年前
I think this can result from cases where paraphrase isn&#x27;t useful but still culturally expected. For example, you often need to introduce the central point of another paper before you can comment on it, and the ideal way to do that would be to insert the whole abstract verbatim, but people look down on that. So, you end up writing a paraphrase as faithful to the original as possible while still being superficially different. If you&#x27;re good at English, you can paraphrase in a way that flows well and displays your understanding. ESL writers might be at risk of screwing the wording up, not noticing, and getting ridiculed for poor research.
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userbinator超过 1 年前
Relatedly, <a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Article_spinning" rel="nofollow noreferrer">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Article_spinning</a> has been quite common for decades now.
droningparrot超过 1 年前
These terms sound like they were mistranslated from another language
tkgally超过 1 年前
A web search for <i>tortured phrases computer science papers</i> suggests that this problem was first widely noticed and discussed in 2021. The reason seems to have been the use of machine translation from languages like Chinese and, maybe, writing or paraphrasing by GPT-1 or -2 level LLMs.<p>With the current widely available models, it is much easier to produce fraudulent papers that cannot be caught just by searching for unnatural expressions.
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terminous超过 1 年前
Is this supposed to just be a 2 page PDF, am I missing something? Kind of ironic to call out bad research with such a sparse paper.
jay-barronville超过 1 年前
Using “grouping calculation” for “clustering algorithm” is absolutely hilarious to me.
foxhop超过 1 年前
This feels like something an LLM would be good at producing and also catching.
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loxias超过 1 年前
I wonder if one could use raw data like this to build a sort of spam filter for papers. Perhaps there are common metadata (institution?, date?, time?, name?, topic?...) among BS papers that could be part of a classifier score?<p>I know that a Proper fix to enshitification is to get the human beings to stop doing it, but I can&#x27;t help but wonder if there&#x27;s something I can do on the &quot;receive&quot; side to have a better experience.
WJW超过 1 年前
Some of these are really nice:<p>- Tired of having to use &quot;random forest&quot;? Why not &quot;irregular woods&quot; to confuse every single one of your colleagues. &quot;Random woodland&quot; also sometimes comes up apparently.<p>- When writing a neural network, some layers are usually hidden. But why not mix it up and use &quot;concealed layer&quot; instead?<p>- Artificial Intelligenge an overused term? Why not &quot;man-made intelligence&quot;?<p>- Denial of Service attacks are <i>so</i> 2022. The modern thing is &quot;disavowal of administration assaults&quot;.<p>- Tired of using Fast Fourier Transforms? Want to be seen as doing Quantum Fourier Transforms? Why not rename the former to &quot;Quick Fourier Transform&quot; to easily get the abbreviation you want!<p>- My personal favorite: switching out &quot;big data&quot; for &quot;huge information&quot;.
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