Papers Data Visualization
“Data Visualization” 태그가 달린 논문 335편 · 필터 해제
StuGPTViz: A Visual Analytics Approach to Understand Student-ChatGPT Interactions
The integration of Large Language Models (LLMs), especially ChatGPT, into education is poised to revolutionize students' learning experiences by introducing innovative conversational learning methodologies. To empower st…
Data Visualization(Deep) Generative Geodesics
In this work, we propose to study the global geometrical properties of generative models. We introduce a new Riemannian metric to assess the similarity between any two data points. Importantly, our metric is agnostic to …
Data VisualizationEvaluating the Semantic Profiling Abilities of LLMs for Natural Language Utterances in Data Visualization
Automatically generating data visualizations in response to human utterances on datasets necessitates a deep semantic understanding of the data utterance, including implicit and explicit references to data attributes, vi…
Data VisualizationVisEval: A Benchmark for Data Visualization in the Era of Large Language Models
Translating natural language to visualization (NL2VIS) has shown great promise for visual data analysis, but it remains a challenging task that requires multiple low-level implementations, such as natural language proces…
Data VisualizationHAIChart: Human and AI Paired Visualization System
The growing importance of data visualization in business intelligence and data science emphasizes the need for tools that can efficiently generate meaningful visualizations from large datasets. Existing tools fall into t…
Data VisualizationDomain-Specific Shorthand for Generation Based on Context-Free Grammar
The generation of structured data in formats such as JSON, YAML and XML is a critical task in Generative AI (GenAI) applications. These formats, while widely used, contain many redundant constructs that lead to inflated …
Data VisualizationInductive Global and Local Manifold Approximation and Projection
Nonlinear dimensional reduction with the manifold assumption, often called manifold learning, has proven its usefulness in a wide range of high-dimensional data analysis. The significant impact of t-SNE and UMAP has cata…
Data VisualizationPolitical Leaning Inference through Plurinational Scenarios
Social media users express their political preferences via interaction with other users, by spontaneous declarations or by participation in communities within the network. This makes a social network such as Twitter a va…
Data VisualizationNoisy Data Visualization using Functional Data Analysis
Data visualization via dimensionality reduction is an important tool in exploratory data analysis. However, when the data are noisy, many existing methods fail to capture the underlying structure of the data. The method …
Data VisualizationDimensionality ReductionEEGHarnessing Business and Media Insights with Large Language Models
This paper introduces Fortune Analytics Language Model (FALM). FALM empowers users with direct access to comprehensive business analysis, including market trends, company performance metrics, and expert insights. Unlike …
Data VisualizationLanguage ModelingLanguage ModellingNatural Language QueriesAre Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs
Natural language is a powerful complementary modality of communication for data visualizations, such as bar and line charts. To facilitate chart-based reasoning using natural language, various downstream tasks have been …
Chart Question AnsweringChart UnderstandingData VisualizationFact Checking+1Visualization of Board of Director Connections for Analysis in Socially Responsible Investing
This project is a collaboration between industry and academia to delve into Finance Social Networks, specifically the Board of Directors of public companies. Knowing the connections between Directors and Executives in di…
Data VisualizationKernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
Integrative analysis of multiple heterogeneous datasets has become standard practice in many research fields, especially in single-cell genomics and medical informatics. Existing approaches oftentimes suffer from limited…
Data VisualizationDenoisingHow to integrate cloud service, data analytic and machine learning technique to reduce cyber risks associated with the modern cloud based infrastructure
The combination of cloud technology, machine learning, and data visualization techniques allows hybrid enterprise networks to hold massive volumes of data and provide employees and customers easy access to these cloud da…
Data VisualizationBoostlet.js: Image processing plugins for the web via JavaScript injection
Can web-based image processing and visualization tools easily integrate into existing websites without significant time and effort? Our Boostlet.js library addresses this challenge by providing an open-source, JavaScript…
Data VisualizationImage CaptioningCross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias
Large language models (LLMs) are increasingly essential in processing natural languages, yet their application is frequently compromised by biases and inaccuracies originating in their training data. In this study, we in…
Data VisualizationLanguage ModelingLanguage ModellingWorld KnowledgeChatGPT in Data Visualization Education: A Student Perspective
Unlike traditional educational chatbots that rely on pre-programmed responses, large-language model-driven chatbots, such as ChatGPT, demonstrate remarkable versatility to serve as a dynamic resource for addressing stude…
Data VisualizationLanguage ModelingLanguage ModellingLarge Language ModelCoSense3D: an Agent-based Efficient Learning Framework for Collective Perception
Collective Perception has attracted significant attention in recent years due to its advantage for mitigating occlusion and expanding the field-of-view, thereby enhancing reliability, efficiency, and, most crucially, dec…
Data VisualizationDecision MakingGPUobject-detection+1CBMAP: Clustering-based manifold approximation and projection for dimensionality reduction
Dimensionality reduction methods are employed to decrease data dimensionality, either to enhance machine learning performance or to facilitate data visualization in two or three-dimensional spaces. These methods typicall…
ClusteringData VisualizationDimensionality Reductionfeature selectionAutomated Data Visualization from Natural Language via Large Language Models: An Exploratory Study
The Natural Language to Visualization (NL2Vis) task aims to transform natural-language descriptions into visual representations for a grounded table, enabling users to gain insights from vast amounts of data. Recently, m…
Data VisualizationIn-Context Learning