Gustavo Gonçalves

Understanding the Effect of Model Compression on Social Bias in Large Language Models

Large Language Models (LLMs) trained with self-supervision on vast corpora of web text fit to the social biases of that text. Without intervention, these social biases persist in the model's predictions in downstream tasks, leading to representational harm. Many strategies have been proposed to miti…