[HTML][HTML] Generative ai for visualization: State of the art and future directions
Generative AI (GenAI) has witnessed remarkable progress in recent years and
demonstrated impressive performance in various generation tasks in different domains such …
demonstrated impressive performance in various generation tasks in different domains such …
Fine-tuned large language model for visualization system: A study on self-regulated learning in education
Large Language Models (LLMs) have shown great potential in intelligent visualization
systems, especially for domain-specific applications. Integrating LLMs into visualization …
systems, especially for domain-specific applications. Integrating LLMs into visualization …
Lightva: Lightweight visual analytics with llm agent-based task planning and execution
Y Zhao, J Wang, L Xiang, X Zhang… - … on Visualization and …, 2024 - ieeexplore.ieee.org
Visual analytics requires analysts to constantly plan and execute analysis tasks based on
observations and generate visualizations and support analysis for gaining insights from …
observations and generate visualizations and support analysis for gaining insights from …
DracoGPT: Extracting Visualization Design Preferences from Large Language Models
Trained on vast corpora, Large Language Models (LLMs) have the potential to encode
visualization design knowledge and best practices. However, if they fail to do so, they might …
visualization design knowledge and best practices. However, if they fail to do so, they might …
How Aligned are Human Chart Takeaways and LLM Predictions? A Case Study on Bar Charts with Varying Layouts
HW Wang, J Hoffswell, VS Bursztyn… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Large Language Models (LLMs) have been adopted for a variety of visualizations tasks, but
how far are we from perceptually aware LLMs that can predict human takeaways? Graphical …
how far are we from perceptually aware LLMs that can predict human takeaways? Graphical …
V-recs, a low-cost llm4vis recommender with explanations, captioning and suggestions
NL2VIS (natural language to visualization) is a promising and recent research area that
involves interpreting natural language queries and translating them into visualizations that …
involves interpreting natural language queries and translating them into visualizations that …
ChartInsighter: An Approach for Mitigating Hallucination in Time-series Chart Summary Generation with A Benchmark Dataset
F Wang, B Wang, X Shu, Z Liu, Z Shao, C Liu… - arXiv preprint arXiv …, 2025 - arxiv.org
Effective chart summary can significantly reduce the time and effort decision makers spend
interpreting charts, enabling precise and efficient communication of data insights. Previous …
interpreting charts, enabling precise and efficient communication of data insights. Previous …
Linking Text and Visualizations via Contextual Knowledge Graph
The integration of visualizations and text is commonly found in data news, analytical reports,
and interactive documents. For example, financial articles are presented along with …
and interactive documents. For example, financial articles are presented along with …
The Visualization JUDGE: Can Multimodal Foundation Models Guide Visualization Design Through Visual Perception?
M Berger, S Liu - 2024 IEEE Evaluation and Beyond …, 2024 - ieeexplore.ieee.org
Foundation models for vision and language are the basis of AI applications across
numerous sectors of society. The success of these models stems from their ability to mimic …
numerous sectors of society. The success of these models stems from their ability to mimic …
[HTML][HTML] Exploring the neural landscape: Visual analytics of neuron activation in large language models with NeuronautLLM
Large language models (LLMs) like those that power OpenAI's ChatGPT and Google's
Gemini have played a major part in the recent wave of machine learning and artificial …
Gemini have played a major part in the recent wave of machine learning and artificial …