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20232026
most citedA Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

188 citations · 263 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.HC2026

DeepConnect: A Visual Analytics System for Bridging Interdisciplinary Research Collaborations

Yingchaojie Feng, Zekai Shao, Yiqun Sun +2

Interdisciplinary research collaboration is crucial for scientific innovation, but it remains difficult to initiate in practice. Existing collaborator discovery approaches are ofte…

cs.HC2026

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…

cs.HC2025

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…

cs.HC2025★ 1 cited

Unlocking Scientific Concepts: How Effective Are LLM-Generated Analogies for Student Understanding and Classroom Practice?

Zekai Shao, Siyu Yuan, Lin Gao +3

Teaching scientific concepts is essential but challenging, and analogies help students connect new concepts to familiar ideas. Advancements in large language models (LLMs) enable g…

cs.HC2024★ 13 cited

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…

cs.HC2024★ 1 cited

Fine-Tuned Large Language Model for Visualization System: A Study on Self-Regulated Learning in Education

Lin Gao, Jing Lu, Zekai Shao +7

Large Language Models (LLMs) have shown great potential in intelligent visualization systems, especially for domain-specific applications. Integrating LLMs into visualization syste…

cs.HC2024★ 60 cited

LEVA: Using Large Language Models to Enhance Visual Analytics

Yuheng Zhao, Yixing Zhang, Yu Zhang +5

Visual analytics supports data analysis tasks within complex domain problems. However, due to the richness of data types, visual designs, and interaction designs, users need to rec…