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

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., charts, data tables, and question-answer (QA) pairs) through data collection and synthesis. However, our empirical study...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on visualization and computer graphics. - 1996. - PP(2024) vom: 10. Sept.
1. Verfasser:	Zeng, Xingchen (VerfasserIn)
Weitere Verfasser:	Lin, Haichuan, Ye, Yilin, Zeng, Wei
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	IEEE transactions on visualization and computer graphics
Schlagworte:	Journal Article