{"total":18,"rows":[{"id":"2307.05356","title":"VisText: A Benchmark for Semantically Rich Chart Captioning","created":"2023-06-28","cited_by_count":112,"area":null},{"id":"2110.04406","title":"Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Content","created":"2021-10-08","cited_by_count":39,"area":null},{"id":"2304.02173","title":"ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules","created":"2023-04-05","cited_by_count":24,"area":null},{"id":"2108.06897","title":"AutoChart: A Dataset for Chart-to-Text Generation Task","created":"2021-08-16","cited_by_count":13,"area":null},{"id":"2105.02039","title":"Towards an efficient framework for Data Extraction from Chart Images","created":"2021-05-05","cited_by_count":10,"area":null},{"id":"2312.10610","title":"Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization","created":"2023-12-17","cited_by_count":10,"area":null},{"id":"2308.07743","title":"ChartDETR: A Multi-shape Detection Network for Visual Chart Recognition","created":"2023-08-15","cited_by_count":7,"area":null},{"id":"2305.04151","title":"Context-Aware Chart Element Detection","created":"2023-05-07","cited_by_count":6,"area":null},{"id":"2104.04584","title":"Text2Chart: A Multi-Staged Chart Generator from Natural Language Text","created":"2021-04-09","cited_by_count":5,"area":null},{"id":"2112.03485","title":"VizExtract: Automatic Relation Extraction from Data Visualizations","created":"2021-12-07","cited_by_count":2,"area":null},{"id":"2307.04147","title":"A Survey and Approach to Chart Classification","created":"2023-07-09","cited_by_count":2,"area":null},{"id":"2307.05694","title":"A Survey on Figure Classification Techniques in Scientific Documents","created":"2023-07-09","cited_by_count":2,"area":null},{"id":"2308.15898","title":"An xAI Approach for Data-to-Text Processing with ASP","created":"2023-08-30","cited_by_count":1,"area":null},{"id":"2407.20845","title":"Assessing Graphical Perception of Image Embedding Models using Channel Effectiveness","created":"2024-07-30","cited_by_count":1,"area":null},{"id":"2602.10138","title":"Multimodal Information Fusion for Chart Understanding: A Survey of MLLMs -- Evolution, Limitations, and Cognitive Enhancement","created":"2026-02-08","cited_by_count":1,"area":null},{"id":"2211.08863","title":"ChartParser: Automatic Chart Parsing for Print-Impaired","created":"2022-11-16","cited_by_count":0,"area":null},{"id":"2510.06071","title":"Benchmark It Yourself (BIY): Preparing a Dataset and Benchmarking AI Models for Scatterplot-Related Tasks","created":"2025-10-07","cited_by_count":0,"area":null},{"id":"2606.11320","title":"Semantic Segmentation of Node and Edge Diagrams for Assistive Technology","created":"2026-06-09","cited_by_count":0,"area":null}],"next_cursor":null}