Use this link to cite:
https://hdl.handle.net/2183/49166 Automated Code Generation for Tabular Question Answering in Zero-Shot Settings
Loading...
Identifiers
Publication date
Advisors
Other responsabilities
Journal Title
Bibliographic citation
Ríos, 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.
Type of academic work
Academic degree
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.
Description
Presentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña.
Editor version
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International