CLEAR: Can Language Models Really Understand Causal Graphs?
CLEAR: Can Language Models Really Understand Causal Graphs?
Causal reasoning is a cornerstone of how humans interpret the world. To model and reason about causality, causal graphs offer a concise yet effective solution. Given the impressive advancements in language models, a crucial question arises: can they really understand causal graphs? To this end, we pioneer an investigation into …