2 citations · 2 across the 4 of their papers we have counts for
6 papers
OptBench: An Interactive Workbench for AI/ML-SQL Co-Optimization[Extended Demonstration Proposal]
Jaykumar Tandel, Douglas Oscarson, Jia Zou
Database workloads are increasingly nesting artificial intelligence (AI) and machine learning (ML) pipelines and AI/ML model inferences with data processing, yielding hybrid SQL+AI…
Structured Multi-Step Reasoning for Entity Matching Using Large Language Model
Rohan Bopardikar, Jin Wang, Jia Zou
Entity matching is a fundamental task in data cleaning and data integration. With the rapid adoption of large language models (LLMs), recent studies have explored zero-shot and few…
ProGQL: A Provenance Graph Query System for Cyber Attack Investigation
Fei Shao, Jia Zou, Zhichao Cao +1
Provenance analysis (PA) has recently emerged as an important solution for cyber attack investigation. PA leverages system monitoring to monitor system activities as a series of sy…
Understanding, Detecting, and Repairing Real-World In-Context-Learning-Based Text-to-SQL Errors
Jiawei Shen, Chengcheng Wan, Ruoyi Qiao +6
Large language models (LLMs) have been adopted for text-to-SQL tasks, utilizing their in-context learning (ICL) capability to translate natural language questions into SQL queries.…
Serving Deep Learning Model in Relational Databases
Lixi Zhou, Qi Lin, Kanchan Chowdhury +9
Serving deep learning (DL) models on relational data has become a critical requirement across diverse commercial and scientific domains, sparking growing interest recently. In this…
Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data
Ankita Sharma, Xuanmao Li, Hong Guan +9
Existing approaches to automatic data transformation are insufficient to meet the requirements in many real-world scenarios, such as the building sector. First, there is no conveni…