Towards natural language interfaces for data visualization: A survey

L Shen, E Shen, Y Luo, X Yang, X Hu… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as a complementary
input modality to direct manipulation for visual analytics can provide an engaging user …

[HTML][HTML] Generative ai for visualization: State of the art and future directions

Y Ye, J Hao, Y Hou, Z Wang, S **ao, Y Luo, W Zeng - Visual Informatics, 2024 - Elsevier
Generative AI (GenAI) has witnessed remarkable progress in recent years and
demonstrated impressive performance in various generation tasks in different domains such …

VISAtlas: An image-based exploration and query system for large visualization collections via neural image embedding

Y Ye, R Huang, W Zeng - IEEE Transactions on Visualization …, 2022 - ieeexplore.ieee.org
High-quality visualization collections are beneficial for a variety of applications including
visualization reference and data-driven visualization design. The visualization community …

Chartgpt: Leveraging llms to generate charts from abstract natural language

Y Tian, W Cui, D Deng, X Yi, Y Yang… - … on Visualization and …, 2024 - ieeexplore.ieee.org
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 …

Dashbot: Insight-driven dashboard generation based on deep reinforcement learning

D Deng, A Wu, H Qu, Y Wu - IEEE Transactions on Visualization …, 2022 - ieeexplore.ieee.org
Analytical dashboards are popular in business intelligence to facilitate insight discovery with
multiple charts. However, creating an effective dashboard is highly demanding, which …

Specific emitter identification using adaptive signal feature embedded knowledge graph

M Hua, Y Zhang, J Sun, B Adebisi… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Specific emitter identification (SEI) plays an important role in secure Industrial Internet of
Things (IIoT). In recent years, many SEI methods based on machine learning (ML) and deep …

LLM4Vis: Explainable visualization recommendation using ChatGPT

L Wang, S Zhang, Y Wang, EP Lim, Y Wang - arxiv preprint arxiv …, 2023 - arxiv.org
Data visualization is a powerful tool for exploring and communicating insights in various
domains. To automate visualization choice for datasets, a task known as visualization …

Advancing multimodal large language models in chart question answering with visualization-referenced instruction tuning

X Zeng, H Lin, Y Ye, W Zeng - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Emerging multimodal large language models (MLLMs) exhibit great potential for chart
question answering (CQA). Recent efforts primarily focus on scaling up training datasets (ie …

FAIR and interactive data graphics from a scientific knowledge graph

ME Deagen, JP McCusker, T Fateye, S Stouffer… - Scientific Data, 2022 - nature.com
Graph databases capture richly linked domain knowledge by integrating heterogeneous
data and metadata into a unified representation. Here, we present the use of bespoke …

AdaVis: Adaptive and Explainable Visualization Recommendation for Tabular Data

S Zhang, H Li, H Qu, Y Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Automated visualization recommendation facilitates the rapid creation of effective
visualizations, which is especially beneficial for users with limited time and limited …