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Talk:Retrieval-augmented generation

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How do we keep AI articles well-sourced?

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I'm flagging source reliability here because quite a few key claims in the article rely on arXiv citations or, in some cases, have no citations at all. While arXiv is a great resource for emerging research, it's still a preprint repository and not peer-reviewed, which bumps up against WP:RS as a primary source. What’s the best way to meet WP:RS for fast-moving fields like AI, where research publications and reliable media articles often lag behind blog chatter, opinion pieces, and self-published content? HerBauhaus (talk) 13:03, 7 March 2025 (UTC)[reply]

In this article also a lot seems to be based on a single Ars Technica article. WikiEwout (talk) 23:27, 10 March 2025 (UTC)[reply]
I don’t think the article is as reliant on a single Ars source as it might seem. Right now, an IBM article is cited 6 times, while a single Ars, MIT TR, and arXiv ("Retrieval-Augmented Generation for Large Language Models: A Survey") are each cited 5 times, AWS twice, and all other sources only one time.
Ars might stand out more because its citations include direct quotes. From a WP:RS perspective, Ars and MIT TR are stronger sources due to their independent reporting and editorial oversight, while IBM and AWS are publishing about their own or related technologies. Vendor sources are useful for technical specifics, but independent coverage gives a more well-rounded view. If you have additional sources to help balance things out, feel free to add them. Since first impressions matter, I’ll also look at giving MIT TR a more prominent voice since it’s cited as often as Ars. HerBauhaus (talk) 06:34, 11 March 2025 (UTC)[reply]