5 papers
ChartAnno: Evaluating MLLMs for Chart Annotation Generation
Zhenghan Chen, Zekai Shao, Lidan Tan +10
Multimodal large language models (MLLMs) have made significant progress in chart understanding, generation, and editing, but their ability to annotate existing charts remains under…
NotebookRAG: Retrieving Multiple Notebooks to Augment the Generation of EDA Notebooks for Crowd-Wisdom
Yi Shan, Yixuan He, Zekai Shao +2
High-quality exploratory data analysis (EDA) is essential in the data science pipeline, but remains highly dependent on analysts' expertise and effort. While recent LLM-based appro…
SimSpark: Interactive Simulation of Social Media Behaviors
Ziyue Lin, Yi Shan, Lin Gao +2
Understanding user behaviors on social media has garnered significant scholarly attention, enhancing our comprehension of how virtual platforms impact society and empowering decisi…
Do Language Model Agents Align with Humans in Rating Visualizations? An Empirical Study
Zekai Shao, Yi Shan, Yixuan He +6
Large language models encode knowledge in various domains and demonstrate the ability to understand visualizations. They may also capture visualization design knowledge and potenti…
Narrative Player: Reviving Data Narratives with Visuals
Zekai Shao, Leixian Shen, Haotian Li +4
Data-rich documents are commonly found across various fields such as business, finance, and science. However, a general limitation of these documents for reading is their reliance…