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20212026
most citedTowards Natural Language Interfaces for Data Visualization: A Survey

181 citations · 350 across the 18 of their papers we have counts for

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9 papers · 1 filter

cs.DB2026

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…

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.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

Data Agents: Levels, State of the Art, and Open Problems

Yuyu Luo, Guoliang Li, Ju Fan +1

Data agents are an emerging paradigm that leverages large language models (LLMs) and tool-using agents to automate data management, preparation, and analysis tasks. However, the te…

cs.DB2025

Graph Neural Networks for Databases: A Survey

Ziming Li, Youhuan Li, Yuyu Luo +2

Graph neural networks (GNNs) are powerful deep learning models for graph-structured data, demonstrating remarkable success across diverse domains. Recently, the database (DB) commu…

cs.DB2024★ 1 cited

A Plug-and-Play Natural Language Rewriter for Natural Language to SQL

Peixian Ma, Boyan Li, Runzhi Jiang +3

Existing Natural Language to SQL (NL2SQL) solutions have made significant advancements, yet challenges persist in interpreting and translating NL queries, primarily due to users' l…

cs.DB2024★ 50 cited

A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?

Xinyu Liu, Shuyu Shen, Boyan Li +7

Translating users' natural language queries (NL) into SQL queries (i.e., Text-to-SQL, a.k.a. NL2SQL) can significantly reduce barriers to accessing relational databases and support…

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.DB2024★ 28 cited

HAIChart: Human and AI Paired Visualization System

Yupeng Xie, Yuyu Luo, Guoliang Li +1

The growing importance of data visualization in business intelligence and data science emphasizes the need for tools that can efficiently generate meaningful visualizations from la…