Stereotypical Bias Analysis

Stereotype bias analysis is an important research direction in natural language processing, aimed at identifying and quantifying inherent biases against specific groups in textual data. This analysis evaluates the text generated by language models to reveal potential social biases and unfair phenomena, thereby promoting the fairness and transparency of the models. Its application value lies in helping developers optimize algorithms, reduce discriminatory outputs, and enhance user trust and satisfaction.