DiFaR: Enhancing Multimodal Misinformation Detection with Diverse, Factual, and Relevant Rationales

Herun Wan, Jiaying Wu, Minnan Luo +3

Generating textual rationales from large vision-language models (LVLMs) to support trainable multimodal misinformation detectors has emerged as a promising paradigm. However, its e…