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20182025
most citedThe Dawn of Natural Language to SQL: Are We Fully Ready?

72 citations · 87 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.DB2025★ 1 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.DB2024

AutoCE: An Accurate and Efficient Model Advisor for Learned Cardinality Estimation

Jintao Zhang, Chao Zhang, Guoliang Li +1

Cardinality estimation (CE) plays a crucial role in many database-related tasks such as query generation, cost estimation, and join ordering. Lately, we have witnessed the emergenc…

cs.DB2024★ 1 cited

PACE: Poisoning Attacks on Learned Cardinality Estimation

Jintao Zhang, Chao Zhang, Guoliang Li +1

Cardinality estimation (CE) plays a crucial role in database optimizer. We have witnessed the emergence of numerous learned CE models recently which can outperform traditional meth…

cs.DB2024★ 72 cited

The Dawn of Natural Language to SQL: Are We Fully Ready?

Boyan Li, Yuyu Luo, Chengliang Chai +2

Translating users' natural language questions into SQL queries (i.e., NL2SQL) significantly lowers the barriers to accessing relational databases. The emergence of Large Language M…

cs.DB2018★ 7 cited

Crowd-Powered Data Mining

Chengliang Chai, Ju Fan, Guoliang Li +2

Many data mining tasks cannot be completely addressed by auto- mated processes, such as sentiment analysis and image classification. Crowdsourcing is an effective way to harness th…