Santos-Ríos, RoiLópez Gude, AdriánPrado-Valiño, FranciscoEzquerro, AnaVilares, Jesús2026-09-042026-09-042025Ríos, 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.c60.978-84-9749-925-5https://hdl.handle.net/2183/49166Presentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña.[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.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Tabular question answeringLarge Language Models (LLMs)Automated code generationZero-shot learningExecutable code synthesisconference outputopen access10.17979/spu.23.c60