mChartQA: A universal benchmark for multimodal Chart Question Answer based on Vision-Language Alignment and Reasoning

no code implementations • 2 Apr 2024 • Jingxuan Wei, Nan Xu, Guiyong Chang, Yin Luo, Bihui Yu, Ruifeng Guo

In the fields of computer vision and natural language processing, multimodal chart question-answering, especially involving color, structure, and textless charts, poses significant challenges.

Chart Question Answering Language Modelling +1

A Survey on Image-text Multimodal Models

1 code implementation • 23 Sep 2023 • Ruifeng Guo, Jingxuan Wei, Linzhuang Sun, Bihui Yu, Guiyong Chang, Dawei Liu, Sibo Zhang, Zhengbing Yao, Mingjun Xu, Liping Bu

Amidst the evolving landscape of artificial intelligence, the convergence of visual and textual information has surfaced as a crucial frontier, leading to the advent of image-text multimodal models.