Valentin Barrière

Quantifying Social Biases in Language Model Classifiers is Domain-Dependent

This work investigates whether large language models (LLMs) can automatically adapt template-based bias datasets to specific domains using zero-shot prompting and shows that domain-adapted templates capture real-world bias patterns more faithfully than standard templates.