this post was submitted on 01 Dec 2025
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At least 80 million (3.3%) of Wikipedia's facts are inconsistent, LLMs may help finding them

A paper titled "Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models",^[1]^ presented earlier this month at the EMNLP conference, examines

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[–] Derpenheim@lemmy.zip 27 points 5 days ago (2 children)

My knee jerk is no, because fuck ai, but LLMs are literally made to parse vast amounts of data quickly. The analysis and corrections needs to be done manually, but finding these errors are literally what they were originally made to do

[–] CptBread@lemmy.world 5 points 5 days ago

Well it could have the issue of overloading volunteers with issues. Especially bad if the false positive rate is high enough.

[–] fodor@lemmy.zip 2 points 4 days ago

That isn’t what most LLMs were designed for, though. It’s just one possible use case.