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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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Showing 2024Show all

8 papers · 1 filter

cs.CV2024★ 1 cited

AskChart: Universal Chart Understanding through Textual Enhancement

Xudong Yang, Yifan Wu, Yizhang Zhu +2

Chart understanding tasks such as ChartQA and Chart-to-Text involve automatically extracting and interpreting key information from charts, enabling users to query or convert visual…

cs.CL2024

SketchFill: Sketch-Guided Code Generation for Imputing Derived Missing Values

Yunfan Zhang, Changlun Li, Yuyu Luo +1

Missing value is a critical issue in data science, significantly impacting the reliability of analyses and predictions. Missing value imputation (MVI) is a longstanding problem bec…

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…

cs.CL2024★ 1 cited

Are Large Language Models Good Statisticians?

Yizhang Zhu, Shiyin Du, Boyan Li +2

Large Language Models (LLMs) have demonstrated impressive capabilities across a range of scientific tasks including mathematics, physics, and chemistry. Despite their successes, th…

cs.CL2024★ 1 cited

ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering

Yifan Wu, Lutao Yan, Leixian Shen +3

Chart question answering (ChartQA) tasks play a critical role in interpreting and extracting insights from visualization charts. While recent advancements in multimodal large langu…