Privacy Preserving Prompt Engineering: A Survey

arXiv:2404.06001v1 Announce Type: new
Abstract: Pre-trained language models (PLMs) have demonstrated significant proficiency in solving a wide range of general natural language processing (NLP) tasks. Researchers have observed a direct correlation between the performance of these models and their sizes. As a result, the sizes of these models have notably expanded in recent years, persuading researchers to adopt the term large language models (LLMs) to characterize the larger-sized PLMs. The increased size is accompanied by a distinct capability known as …

abstract arxiv correlation cs.cl engineering general language language models language processing natural natural language natural language processing nlp performance privacy privacy preserving processing prompt researchers survey tasks type