BiasCause: Evaluate Socially Biased Causal Reasoning of Large Language Models

ArXi:2504.07997v2 Announce Type: replace While large language models (LLMs) play increasingly significant roles in society, research shows they continue to generate content that reflects social bias against sensitive groups. Existing benchmarks effectively identify these biases, but a critical gap remains in understanding the underlying reasoning processes that produce them. This paper addresses this gap by evaluating the causal reasoning of LLMs when answering socially biased questions.