Authorship Style Transfer with Policy Optimization

arXiv:2403.08043v1 Announce Type: new
Abstract: Authorship style transfer aims to rewrite a given text into a specified target while preserving the original meaning in the source. Existing approaches rely on the availability of a large number of target style exemplars for model training. However, these overlook cases where a limited number of target style examples are available. The development of parameter-efficient transfer learning techniques and policy optimization (PO) approaches suggest lightweight PO is a feasible approach to low-resource style transfer. …

abstract arxiv availability cases cs.cl however meaning optimization policy style style transfer text training transfer type