2025
Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding Strategies
COLING 2025main
This study evaluates the effectiveness of Vision Language Models (VLMs) in representing and utilizing multimodal content for fact-checking. To be more specific, we investigate whether incorporating multimodal content improves performance compared to text-only models and how well VLMs utilize text an…