activity
20192026
most citedChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language

107 citations · 345 across the 25 of their papers we have counts for

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Showing 2023Show all

9 papers · 1 filter

cs.HC2023★ 107 cited

ChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language

Yuan Tian, Weiwei Cui, Dazhen Deng +4

The use of natural language interfaces (NLIs) to create charts is becoming increasingly popular due to the intuitiveness of natural language interactions. One key challenge in this…

cs.CL2023★ 8 cited

Table-GPT: Table-tuned GPT for Diverse Table Tasks

Peng Li, Yeye He, Dror Yashar +6

Language models, such as GPT-3.5 and ChatGPT, demonstrate remarkable abilities to follow diverse human instructions and perform a wide range of tasks. However, when probing languag…

cs.HC2023★ 6 cited

Relation-driven Query of Multiple Time Series

Shuhan Liu, Yuan Tian, Zikun Deng +4

Querying time series based on their relations is a crucial part of multiple time series analysis. By retrieving and understanding time series relations, analysts can easily detect…

cs.HC2023★ 19 cited

Reviving Static Charts into Live Charts

Lu Ying, Yun Wang, Haotian Li +5

Data charts are prevalent across various fields due to their efficacy in conveying complex data relationships. However, static charts may sometimes struggle to engage readers and e…

cs.HC2023

Data Player: Automatic Generation of Data Videos with Narration-Animation Interplay

Leixian Shen, Yizhi Zhang, Haidong Zhang +1

Data visualizations and narratives are often integrated to convey data stories effectively. Among various data storytelling formats, data videos have been garnering increasing atte…

cs.HC2023★ 1 cited

WonderFlow: Narration-Centric Design of Animated Data Videos

Yun Wang, Leixian Shen, Zhengxin You +5

Creating an animated data video enriched with audio narration takes a significant amount of time and effort and requires expertise. Users not only need to design complex animations…

cs.DB2023

Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines

Dezhan Tu, Yeye He, Weiwei Cui +5

Data pipelines are widely employed in modern enterprises to power a variety of Machine-Learning (ML) and Business-Intelligence (BI) applications. Crucially, these pipelines are \em…

cs.HC2023★ 40 cited

Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks

Haotian Li, Lu Ying, Haidong Zhang +3

Computational notebooks are widely used for data analysis. Their interleaved displays of code and execution results (e.g., visualizations) are welcomed since they enable iterative…

cs.HC2023★ 30 cited

GeoCamera: Telling Stories in Geographic Visualizations with Camera Movements

Wenchao Li, Zhan Wang, Yun Wang +5

In geographic data videos, camera movements are frequently used and combined to present information from multiple perspectives. However, creating and editing camera movements requi…