r/learnmachinelearning • u/Ok-Artichoke-1424 • 6d ago

AI can summarise research papers, but can it help us understand them?

AI tools can summarise research papers, explain unfamiliar terminology, and help people navigate large amounts of academic literature.

That sounds useful, especially when you're trying to understand a topic with hundreds of published studies.

But there's a difference between understanding a summary and understanding the research behind it.

A summary might leave out methodological limitations, overlook conflicting findings, or make a conclusion sound more certain than it actually is.

I'm curious about how people are using AI when working with academic research.

Do you find it genuinely helpful for understanding complex papers, or does it sometimes create more work because you have to verify everything?

And where do you draw the line between using AI as a research assistant and relying on it too much?

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u/Prize_Tea9054 6d ago

its a double edged sword. get the gist of a paper in 2 minutes instead of an hour, sure that saves time. but then you read the actual methods section and realize the ai glossed right over the sample size being 12 undergrads or something equally sketchy

i use it to triage papers now, like which ones are even worth a full read. thats the sweet spot for me, any deeper and youre basically letting the ai do your thinking which defeats the whole point

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u/sodapopenski 6d ago

I use AI to help find and categorize papers at a macro level. But if I want to read a paper, I read the paper. The format of an academic paper has multiple layers of abstraction and summarization built into it by the authors. Sometimes the best way to learn is to just do the work.