most citedA Survey of Data Agents: Emerging Paradigm or Overstated Hype?

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cs.DB2026

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…

cs.DB2026

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…

cs.DB2026

Disk-Resident Graph ANN Search: An Experimental Evaluation

Xiaoyu Chen, Jinxiu Qu, Yitong Song +7

As data volumes grow while memory capacity remains limited, disk-resident graph-based approximate nearest neighbor (ANN) methods have become a practical alternative to memory-resid…

cs.DB20261 cited

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…

cs.DB2026

Qute: Towards Quantum-Native Database

Muzhi Chen, Xuanhe Zhou, Wei Zhou +7

This paper envisions a quantum database (Qute) that treats quantum computation as a first-class execution option. Unlike prior simulation-based methods that either run quantum algo…

cs.DB2025

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),…