Wall Kim

MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning

Recently, TabPFN has gained attention as a foundation model for tabular data. However, it struggles to integrate heterogeneous modalities such as images and text, which are common in domains like healthcare and marketing, thereby limiting its applicability. To address this, we present the Multi-Moda