DMC-CF: Dynamic Multimodal CounterFactual QA benchmark for Causal Reasoning 事件

DMC-CF: Dynamic Multimodal CounterFactual QA benchmark for Causal Reasoning arXiv:2605.29339v1 Announce Type: new Abstract: With the rapid advancement of multimodal large language models (MLLMs), models have demonstrated increasingly powerful multimodal capabilities. However, whether MLLMs trained through statistical learning can truly understand the causal relationships underlying the real world remains a key research question. In recent years, numerous multimodal causal reasoning datasets hav