3 papers
cs.CL2026
EdgeLM: Edge Demonstrations for Language Models' Table Understanding
Soroush Omidvartehrani, Mohammadamin Habibollah, Mohammadreza Daviran +1
Large language models (LLMs) perform table-centric prediction through in-context learning, making demonstration selection critical to performance. Existing retrieval methods priori…
cs.DB2026
LDI: Localized Data Imputation for Text-Rich Tables
Soroush Omidvartehrani, Davood Rafiei
Missing values are pervasive in real-world tabular data and can significantly impair downstream analysis. Imputing them is especially challenging in text-rich tables, where depende…
cs.DB2025
GXJoin: Generalized Cell Transformations for Explainable Joinability
Soroush Omidvartehrani, Arash Dargahi Nobari, Davood Rafiei
Describing real-world entities can vary across different sources, posing a challenge when integrating or exchanging data. We study the problem of joinability under syntactic transf…