Vldb2025

[VLDB 2025] Three papers “Weak-to-Strong Prompts with Lightweight-to-Powerful LLMs for High-Accuracy, Low-Cost, and Explainable Data Transformation”, “Data Imputation with Limited Data Redundancy Using Data Lakes”, “AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework”, and a tutorial “Natural Language to SQL: State of the Art and Open Problems” were accepted.