Paraphrasing with Large Language Models

Sam Witteveen; Martin Andrews

doi:10.18653/v1/d19-5623

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arXiv · 1911.09661

Paraphrasing with Large Language Models

Sam Witteveen·Martin Andrews

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Abstract

Recently, large language models such as GPT-2 have shown themselves to be extremely adept at text generation and have also been able to achieve high-quality results in many downstream NLP tasks such as text classification, sentiment analysis and question answering with the aid of fine-tuning. We present a useful technique for using a large language model to perform the task of paraphrasing on a variety of texts and subjects. Our approach is demonstrated to be capable of generating paraphrases not only at a sentence level but also for longer spans of text such as paragraphs without needing to break the text into smaller chunks.

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Sam Witteveen, Martin Andrews. 2019-11-21. Paraphrasing with Large Language Models. https://doi.org/10.18653/v1%2Fd19-5623

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