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Akilles Rechardt

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Articles

Large language models surpass human experts in predicting neuroscience results - Nature Human Behaviour

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By Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin Nejad, Felipe Yanez, Bati Yilmaz, Kangjoo Lee, Alexandra Cohen, Daniele Marinazzo, Alessandro Salatiello, Ilia Sucholutsky, Pasquale Minervini, Sepehr Razavi, Roberta Rocca, Elkhan Yusifov, Tereza Okalova, Nianlong Gu, Martin Ferianc, Kaustubh Patil, Pui-Shee Lee, Rui Mata, Nicholas E. Myers, Jennifer K. Bizley, Sebastian Musslick, Guiomar Niso, Justin M. Ales, Michael Gaebler, Leyla Loued-Khenissi, Anna Behler, Jessica Dafflon, Sherry Dongqi Bao
| Nature Verified
Abstract Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offer a solution. LLMs trained on the vast scientific literature could potentially integrate noisy yet interrelated findings to forecast novel results better than human experts. Here, to evaluate this possibility, we created BrainBench, a forward-looking benchmark for predicting neuroscience results.
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