activity
20202026
most citedChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language

107 citations · 185 across the 24 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CL2025

CycleChart: A Unified Consistency-Based Learning Framework for Bidirectional Chart Understanding and Generation

Dazhen Deng, Sen Yang, Yuchen He +2

Current chart-related tasks, such as chart generation (NL2Chart), chart schema parsing, chart data parsing, and chart question answering (ChartQA), are typically studied in isolati…

cs.HC2025

Linking Heterogeneous Data with Coordinated Agent Flows for Social Media Analysis

Shifu Chen, Dazhen Deng, Zhihong Xu +4

Social media platforms generate volumes of heterogeneous data, capturing user behaviors, textual content, and network structures. Analyzing such data is crucial for understanding p…

cs.HC2025

ProTAL: A Drag-and-Link Video Programming Framework for Temporal Action Localization

Yuchen He, Jianbing Lv, Liqi Cheng +3

Temporal Action Localization (TAL) aims to detect the start and end timestamps of actions in a video. However, the training of TAL models requires a substantial amount of manually…

cs.HC2025★ 3 cited

ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMs

Yuan Tian, Chuhan Zhang, Xiaotong Wang +5

Creating data reports is a labor-intensive task involving iterative data exploration, insight extraction, and narrative construction. A key challenge lies in composing the analysis…

cs.HC2025★ 1 cited

NoteFlow: Leveraging Charts as Sight Glasses for Consistent and Continuous Data Flow Tracing

Yuan Tian, Dazhen Deng, Sen Yang +5

Computational notebooks offer a flexible environment for exploratory data analysis (EDA), but this flexibility often leads to disorganized and iterative execution of notebook cells…