AI science search engines are exploding in number — are they any good?

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AI science search engines are exploding in number — are they any good?
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Several search tools claim to help researchers do science – but are they useful?

Credit: Dimitri Otis/Getty

But some tools need more refinement before researchers can use them to help their studies, say scientists who have experimented with them. Clémentine Fourrier is a Paris-based researcher who evaluates LLMs at Hugging Face, a company in New York City that develops open-source AI platforms. She used an AI search engine called Elicit, which uses an LLM to craft its answers, to help find papers for her PhD thesis.

These discrepancies might be field-dependent, Tay suggests. Fourrier adds that, in her research area, time is critical. “A year in machine learning is a century in any other field,” she says. “Anything prior to five years is completely irrelevant,” and Elicit doesn’t pick up on this, she adds.Another tool, scite, whose developers are based in New York City, uses an LLM to organize and add context to paper citations — including where, when and how a paper is cited by another paper.

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