Advancing Multimodal Large Language Models in Chart Question Answering with Visualization-Referenced Instruction Tuning

Xingchen Zeng, Haichuan Lin, Yilin Ye +1

Emerging multimodal large language models (MLLMs) exhibit great potential for chart question answering (CQA). Recent efforts primarily focus on scaling up training datasets (i.e.,…