Revealing Multimodal Causality with Large Language Models

arXiv — cs.LGFriday, October 31, 2025 at 4:00:00 AM
A recent study highlights the challenges of using large language models (LLMs) for causal discovery in multimodal settings. While LLMs have shown potential in analyzing unstructured data, their effectiveness is limited by difficulties in exploring intra-modal relationships and integrating diverse data types. This research is significant as it addresses the need for improved methods in understanding cause-and-effect mechanisms, which is essential for advancing scientific knowledge.
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