AttriBench Reveals LLM Attribution Bias: Accuracy Varies by Race, Gender

Researchers introduced AttriBench, a demographically-balanced dataset for quote attribution. Testing 11 LLMs revealed significant, systematic accuracy disparities across race, gender, and intersectional groups, exposing a new fairness benchmark. AttriBench Reveals Systematic Attribution Bias in Large Language Models As LLMs become integral to search and information retrieval, their ability to correctly credit original authors is a critical measure of reliability and fairness...