107 citations · 140 across the 16 of their papers we have counts for
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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.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…