Causal Reasoning Annotation for LLMs: Labeling Cause-Effect Chains Beyond Simple Correlation
Modern LLMs have made significant progress in understanding and generating natural language, but their ability to reason causally remains a key challenge in the field of artificial intelligence. Most modern models effectively detect statistical relationships among words, events, and concepts, but the presence of a correlation does not always imply
