Learning to Generate Text in Arbitrary Writing Styles: A Detailed Analysis

The authors propose a novel approach to guide language models in generating text in an author-specific style using contrastively-trained representations. By combining generative re-scoring and discriminative control, they achieve effective adherence to an author-specific style across various conditions.