2025
Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models
ACL 2025long
We believe that analyzing attention is crucial for understanding bias in large language models (LLMs); in ambiguous comparative prompting frameworks, it provides insight into how the LLM distributes its focus across different entities, and how this contributes to biased decisions. To this end, we fi…