activity
20242026
most citedHAIChart: Human and AI Paired Visualization System

28 citations · 56 across the 36 of their papers we have counts for

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Showing 2024Show all

7 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.HC2024

Debugging Defective Visualizations: Empirical Insights Informing a Human-AI Co-Debugging System

Shuyu Shen, Sirong Lu, Leixian Shen +1

Visualization authoring is an iterative process requiring users to adjust parameters to achieve desired aesthetics. Due to its complexity, users often create defective visualizatio…

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…