Macro-Queries: An Exploration into Guided Chart Generation from High Level Prompts
This paper explores the intersection of data visualization and Large Language Models (LLMs). Driven by the need to make a broader range of data visualization types accessible for novice users, we present a guided LLM-based pipeline designed to transform data, guided by high-level user questions (referred to as macro-queries), into a diverse set of useful visualizations. This approach leverages various prompting techniques, fine-tuning inspired by Abela's Chart Taxonomy, and integrated SQL tool usage.
Code (0)
등록된 구현이 없습니다.
Tasks
Data VisualizationMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights
Charts are crucial for data analysis and decision-making.Text-to-chart retrieval systems have become increasingly important for Business Intelligence (BI), where users need to find relevant charts that match their analyt…
RetrievalChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering
Recent multimodal LLMs have shown promise in chart-based visual question answering, but their performance declines sharply on unannotated charts-those requiring precise visual interpretation rather than relying on textua…
Visual Question AnsweringChart Question AnsweringVisual ReasoningArrow-Guided VLM: Enhancing Flowchart Understanding via Arrow Direction Encoding
Flowcharts are indispensable tools in software design and business-process analysis, yet current vision-language models (VLMs) frequently misinterpret the directional arrows and graph topology that set these diagrams apa…
Optical Character RecognitionOptical Character Recognition (OCR)Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data
Visual reasoning is crucial for multimodal large language models (MLLMs) to address complex chart queries, yet high-quality rationale data remains scarce. Existing methods leveraged (M)LLMs for data generation, but direc…
DiversityVisual ReasoningGoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering
Chart Question Answering (CQA) aims at answering questions based on the visual chart content, which plays an important role in chart sumarization, business data analysis, and data report generation. CQA is a challenging …
Chart Question AnsweringQuestion Answering