2 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
SynSQL: Synthesizing Relational Databases for Robust Evaluation of Text-to-SQL Systems
Mohammadamin Habibollah, Davood Rafiei
Evaluating text-to-SQL systems remains largely fragile: correctness is typically judged by executing predicted and gold SQL queries on a single static database, even though the sam…