Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model

18 October 2020

Papers citing "Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model"

6 / 6 papers shown

Title
Chart-to-Experience: Benchmarking Multimodal LLMs for Predicting Experiential Impact of Charts Seon Gyeom Kim Jae Young Choi Ryan Rossi Eunyee Koh Tak Yeon Lee 51 0 0 23 May 2025
Breaking Language Barriers in Visual Language Models via Multilingual Textual Regularization Iñigo Pikabea Iñaki Lacunza Oriol Pareras Carlos Escolano Aitor Gonzalez-Agirre Javier Hernando Marta Villegas VLM 113 0 0 28 Mar 2025
MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning Yiwei Ma Guohai Xu Xiaoshuai Sun Jiayi Ji Jie Lou Debing Zhang Rongrong Ji 145 0 0 26 Mar 2025
Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence Granite Vision Team Leonid Karlinsky Assaf Arbelle Abraham Daniels A. Nassar ... Sriram Raghavan Tanveer Syeda-Mahmood Peter W. J. Staar Tal Drory Rogerio Feris VLM AI4TS 131 2 0 14 Feb 2025
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning Renqiu Xia Bo Zhang Hancheng Ye Xiangchao Yan Qi Liu ... Min Dou Botian Shi Junchi Yan Junchi Yan Yu Qiao LRM 86 61 0 19 Feb 2024
Logical Natural Language Generation from Open-Domain Tables Wenhu Chen Jianshu Chen Yunde Su Zhiyu Zoey Chen William Yang Wang LMTD 56 158 0 22 Apr 2020