CaRGo-T Framework Improves Multimodal Humor Comprehension via Causal Graphs

CaRGo-T uses a lightweight graph-based reasoning structure serialized into code to represent causal and contextual relationships in images and text. This approach addresses complex reasoning chains that linear chain-of-thought prompting fails to capture in multimodal humor tasks.