2025
KLAAD: Refining Attention Mechanisms to Reduce Societal Bias in Generative Language Models
EMNLP 2025
Large language models (LLMs) often exhibit societal biases in their outputs, prompting ethical concerns regarding fairness and harm. In this work, we propose KLAAD (KL-Attention Alignment Debiasing), an attention-based debiasing framework that implicitly aligns attention distributions between stereo