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dc.contributor.authorChen, Zui
dc.contributor.authorCao, Lei
dc.contributor.authorMadden, Sam
dc.date.accessioned2024-02-28T15:54:33Z
dc.date.available2024-02-28T15:54:33Z
dc.date.issued2023-08-01
dc.identifier.citationZui Chen, Lei Cao, and Sam Madden. Lingua Manga : A Generic Large Language Model Centric System for Data Curation. PVLDB, 16(12): 40744077, 2023. doi:10.14778/3611540.3611624en_US
dc.identifier.issn2150-8097
dc.identifier.doi10.14778/3611540.3611624
dc.identifier.urihttp://hdl.handle.net/10150/671093
dc.description.abstractData curation is a wide-ranging area which contains many critical but time-consuming data processing tasks. However, the diversity of such tasks makes it challenging to develop a general-purpose data curation system. To address this issue, we present Lingua Manga , a user-friendly and versatile system that utilizes pre-trained large language models. Lingua Manga offers automatic optimization for achieving high performance and label efficiency while facilitating flexible and rapid development. Through three example applications with distinct objectives and users of varying levels of technical proficiency, we demonstrate that Lingua Manga can effectively assist both skilled programmers and low-code or even no-code users in addressing data curation challenges.en_US
dc.language.isoenen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.rightsCopyright is held by the owner/author(s). This work is licensed under the Creative Commons BY-NC-ND4.0 International License.en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectGeneral Earth and Planetary Sciencesen_US
dc.subjectWater Science and Technologyen_US
dc.subjectGeography, Planning and Developmenten_US
dc.titleLingua Manga : A Generic Large Language Model Centric System for Data Curationen_US
dc.typeProceedingsen_US
dc.contributor.departmentUniversity of Arizonaen_US
dc.identifier.journalProceedings of the VLDB Endowmenten_US
dc.description.noteOpen access article.en_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.pii10.14778/3611540.3611624
dc.source.journaltitleProceedings of the VLDB Endowment
dc.source.volume16
dc.source.issue12
dc.source.beginpage4074
dc.source.endpage4077
refterms.dateFOA2024-02-28T15:54:37Z


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Copyright is held by the owner/author(s). This work is licensed under the Creative Commons BY-NC-ND4.0 International License.
Except where otherwise noted, this item's license is described as Copyright is held by the owner/author(s). This work is licensed under the Creative Commons BY-NC-ND4.0 International License.