6 citations · 16 across the 25 of their papers we have counts for
17 papers · 1 filter
Data Agents: Agentic Data Systems
Guoliang Li, Peiyao Zhou, Xuanhe Zhou +3
Traditional data systems face profound limitations in the AI era, relying on human-crafted pipelines, lacking semantic understanding of heterogeneous data, and operating through ri…
Automating Database-Native Function Code Synthesis with LLMs
Wei Zhou, Xuanhe Zhou, Qikang He +4
Database systems incorporate an ever-growing number of functions in their kernels (a.k.a., database native functions) for scenarios like new application support and business migrat…
Dial: A Knowledge-Grounded Dialect-Specific NL2SQL System
Xiang Zhang, Hongming Xu, Le Zhou +8
Enterprises commonly deploy heterogeneous database systems, each of which owns a distinct SQL dialect with different syntax rules, built-in functions, and execution constraints. Ho…
Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs
Wei Zhou, Jun Zhou, Haoyu Wang +16
Data preparation aims to denoise raw datasets, uncover cross-dataset relationships, and extract valuable insights from them, which is essential for a wide range of data-centric app…
A Survey of Data Agents: Emerging Paradigm or Overstated Hype?
Yizhang Zhu, Liangwei Wang, Chenyu Yang +22
The rapid advancement of large language models (LLMs) has spurred the emergence of data agents, autonomous systems designed to orchestrate Data + AI ecosystems for tackling complex…
PARROT: A Benchmark for Evaluating LLMs in Cross-System SQL Translation
Wei Zhou, Guoliang Li, Haoyu Wang +4
Large language models (LLMS) have shown increasing effectiveness in Text-to-SQL tasks. However, another closely related problem, Cross-System SQL Translation (a.k.a., SQL-to-SQL),…
DBAIOps: A Reasoning LLM-Enhanced Database Operation and Maintenance System using Knowledge Graphs
Wei Zhou, Peng Sun, Xuanhe Zhou +5
The operation and maintenance (O&M) of database systems is critical to ensuring system availability and performance, typically requiring expert experience (e.g., identifying metric…
GaussMaster: An LLM-based Database Copilot System
Wei Zhou, Ji Sun, Xuanhe Zhou +4
In the financial industry, data is the lifeblood of operations, and DBAs shoulder significant responsibilities for SQL tuning, database deployment, diagnosis, and service repair. I…
A Survey of LLM DATA
Xuanhe Zhou, Junxuan He, Wei Zhou +14
The integration of large language model (LLM) and data management (DATA) is rapidly redefining both domains. In this survey, we comprehensively review the bidirectional relationshi…
CrackSQL: A Hybrid SQL Dialect Translation System Powered by Large Language Models
Wei Zhou, Yuyang Gao, Xuanhe Zhou +1
Dialect translation plays a key role in enabling seamless interaction across heterogeneous database systems. However, translating SQL queries between different dialects (e.g., from…
FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio Platform
Xin Tong, Xuanhe Zhou, Bingsheng He +6
Feature management is essential for many online machine learning applications and can often become the performance bottleneck (e.g., taking up to 70% of the overall latency in sale…
OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML
Xuanhe Zhou, Wei Zhou, Liguo Qi +7
Efficient and consistent feature computation is crucial for a wide range of online ML applications. Typically, feature computation is divided into two distinct phases, i.e., offlin…
R-Bot: An LLM-based Query Rewrite System
Zhaoyan Sun, Xuanhe Zhou, Guoliang Li +3
Query rewrite is essential for optimizing SQL queries to improve their execution efficiency without changing their results. Traditionally, this task has been tackled through heuris…
Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation
Yihang Zheng, Bo Li, Zhenghao Lin +6
The development of Large Language Models (LLMs) has revolutionized QA across various industries, including the database domain. However, there is still a lack of a comprehensive be…
LLM-Enhanced Data Management
Xuanhe Zhou, Xinyang Zhao, Guoliang Li
Machine learning (ML) techniques for optimizing data management problems have been extensively studied and widely deployed in recent five years. However traditional ML methods have…
D-Bot: Database Diagnosis System using Large Language Models
Xuanhe Zhou, Guoliang Li, Zhaoyan Sun +6
Database administrators (DBAs) play an important role in managing, maintaining and optimizing database systems. However, it is hard and tedious for DBAs to manage a large number of…
LLM As DBA
Xuanhe Zhou, Guoliang Li, Zhiyuan Liu
Database administrators (DBAs) play a crucial role in managing, maintaining and optimizing a database system to ensure data availability, performance, and reliability. However, it…