Automated Code Generation for Tabular Question Answering in Zero-Shot Settings

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UDC.coleccionPublicacións UDC
UDC.conferenceTitleXoveTIC: impulsando el talento científico (8º. 2025. A Coruña)
UDC.departamentoCiencias da Computación e Tecnoloxías da Información
UDC.endPage397
UDC.grupoInvLingua e Sociedade da Información (LYS)
UDC.institutoCentroCITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación
UDC.startPage391
dc.contributor.authorSantos-Ríos, Roi
dc.contributor.authorLópez Gude, Adrián
dc.contributor.authorPrado-Valiño, Francisco
dc.contributor.authorEzquerro, Ana
dc.contributor.authorVilares, Jesús
dc.date.accessioned2026-09-04T15:57:16Z
dc.date.available2026-09-04T15:57:16Z
dc.date.issued2025
dc.descriptionPresentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña.
dc.description.abstract[Abstract]: Our work presents an effective and robust approach to Tabular Question Answering based on a zero-shot pipeline that uses a Large Language Model to generate executable code for extracting information from tables. Our system includes a modular architecture: a code generation module supported by column selection and type inference components to guide accurate code synthesis, together with an iterative repair mechanism for runtime errors into revised prompts. Our approach is successfully tested both in English and Spanish.
dc.description.sponsorshipWe acknowledge grants SCANNER-UDC (PID2020-113230RB-C21) funded by MICIU/AEI/10.13039/501100011033; GAP (PID2022-139308OA-I00) funded by MICIU/AEI/10.13039/501100011033/ and ERDF, EU; LATCHING (PID2023-147129OB-C21) funded by MICIU/AEI/10.13039/501100011033 and ERDF, EU; CIDMEFEO funded by the Spanish National Statistics Institute (INE); as well as funding by Xunta de Galicia (ED431C 2024/02). CITIC, as a center accredited for excellence within the Galician University System and a member of the CIGUS Network, receives subsidies from the Department of Education, Science, Universities, and Vocational Training of the Xunta de Galicia. Additionally, it is co-financed by the EU through the FEDER Galicia 2021-27 operational program (ED431G 2023/01).
dc.description.sponsorshipXunta de Galicia; ED431G 2023/01
dc.description.sponsorshipXunta de Galicia; ED431C 2024/02
dc.identifier.citationRíos, R. S., Gude, A., Valiño, F. P., Ezquerro, A. X. N. P., & Vilares, J. (2026). Automated Code Generation for Tabular Question Answering in Zero-Shot Settings. In Proceedings XoveTIC 2025: Impulsando el talento científico (pp. 391-398). Servizo de Publicacións UDC. https://doi.org/10.17979/spu.23.c60.
dc.identifier.doi10.17979/spu.23.c60
dc.identifier.isbn978-84-9749-925-5
dc.identifier.urihttps://hdl.handle.net/2183/49166
dc.language.isoeng
dc.publisherUniversidade da Coruña, Servizo de Publicacións
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113230RB-C21/ES/MODELOS MULTITAREA DE ETIQUETADO SECUENCIAL PARA EL RECONOCIMIENTO DE ENTIDADES ENRIQUECIDO CON INFORMACION LINGUISTICA: SINTAXIS E INTEGRACION MULTITAREA (SCANNER-UDC)
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-147129OB-C21/ES/TECNOLOGÍAS DEL LENGUAJE DESDE UNA PERSPECTIVA VERDE (LATCHING): DOMINIOS CON ESCASOS RECURSOS
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-139308OA-100/ES/REPRESENTACIONES ESTRUCTURADAS VERDES Y ENCHUFABLES
dc.relation.urihttps://doi.org/10.17979/spu.23.c60
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectTabular question answering
dc.subjectLarge Language Models (LLMs)
dc.subjectAutomated code generation
dc.subjectZero-shot learning
dc.subjectExecutable code synthesis
dc.titleAutomated Code Generation for Tabular Question Answering in Zero-Shot Settings
dc.typeconference output
dspace.entity.typePublication
relation.isAuthorOfPublication2f08b56a-af5a-4627-b111-5ccccc33d17d
relation.isAuthorOfPublication3313b723-2288-4d9d-b0e7-32732c9c78d5
relation.isAuthorOfPublication.latestForDiscovery2f08b56a-af5a-4627-b111-5ccccc33d17d

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