Assessing Y-Axis Influence: Bias in Multimodal Language Models on Chart-to-Table Translation

arXiv:2604.24987v1 Announce Type: new Abstract: Chart-to-table translation converts chart images into structured tabular data. Accurate translation is crucial for Multimodal Language Model (MLM) to answer complex queries. We observe imbalances in the number of images across different aspects of the y-axis information in public chart datasets. Such imbalances can introduce unintended biases, causing uneven MLM performance. Previous works have not systematically examined these biases. To address t