Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/113634
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dc.contributorDepartment of Chinese and Bilingual Studiesen_US
dc.creatorGao, Cen_US
dc.creatorMa, Zen_US
dc.creatorChen, Jen_US
dc.creatorLi, Pen_US
dc.creatorHuang, Sen_US
dc.creatorLi, Jen_US
dc.date.accessioned2025-06-16T06:12:03Z-
dc.date.available2025-06-16T06:12:03Z-
dc.identifier.urihttp://hdl.handle.net/10397/113634-
dc.language.isoenen_US
dc.rightsThis is an open access article under the CC-BY 4.0 International license. (http://creativecommons.org/licenses/by/4.0).en_US
dc.rightsThe following publication Gao, C., Ma, Z., Chen, J., Li, P., Huang, S., & Li, J. (2025). Scaling, but not instruction tuning, increases large language models’ alignment with language processing in the human brain. bioRxiv, 2024.2008.2015.608196 is available at https://doi.org/10.1101/2024.08.15.608196.en_US
dc.titleScaling, but not instruction tuning, increases large language models’ alignment with language processing in the human brainen_US
dc.typePreprinten_US
dc.identifier.doi10.1101/2024.08.15.608196en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationbioRxiv, 2025, https://doi.org/10.1101/2024.08.15.608196en_US
dcterms.issued2025-
dc.description.validate202506 bcchen_US
dc.description.oaAuthor’s Originalen_US
dc.identifier.FolderNumbera3675, a3676-
dc.identifier.SubFormID50675, 50676-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe CityU Start-up Grant 7020086; CityU Strategic Research Grant 7200747en_US
dc.description.pubStatusUnpublishen_US
dc.description.oaCategoryCopyright retained by authoren_US
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