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cs.DB2026
EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries
Yuhui Wang, Jinqi Liu, Chengliang Chai +8
The diverse formats of CSV and Parquet files in data lakes pose a significant challenge to traditional ETL, which relies on data engineers to pre-define a target database schema an…
cs.DB2025
Unstructured Data Analysis using LLMs: A Comprehensive Benchmark
Qiyan Deng, Jianhui Li, Chengliang Chai +9
Nowadays, the explosion of unstructured data presents immense analytical value. Leveraging the remarkable capability of large language models (LLMs) in extracting attributes of str…
cs.DB2025
QUEST: Query Optimization in Unstructured Document Analysis
Zhaoze Sun, Qiyan Deng, Chengliang Chai +6
Most recently, researchers have started building large language models (LLMs) powered data systems that allow users to analyze unstructured text documents like working with a datab…