Guo-Shen Li

A Template-Driven Multi-Source Benchmark Generation Method for Heterogeneous Data Lakes

Large language models (LLMs) have rapidly advanced natural-language-to-query (Text-to-Query) capabilities, yet existing public benchmarks remain confined to single database paradigms such as Text-to-SQL or Text-to-KG. They do not capture real-world settings where relational databases, graph databases, document database...