mlsanityData to 7 Oct 2026

Paraphrasing with Large Language Models

arXiv 1911.09661 ↗First posted 21 Nov 2019cs.CL cs.LGcited by 35

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Abstract (arXiv)

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.

Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Nov 2019.

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Citing papers per year: 2021: 5; 2022: 8; 2023: 8; 2024: 6; 2025: 4; 2026: 4.

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  1. 2023Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defensecited by 401
  2. 2022The Limits of Word Level Differential Privacycited by 63
  3. 2022Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioningcited by 45
  4. 2025Large Language Models Hallucination: A Comprehensive Surveycited by 45
  5. 2024What is the Role of Small Models in the LLM Era: A Surveycited by 41
  6. 2022How Large Language Models are Transforming Machine-Paraphrased Plagiarismcited by 38
  7. 2023SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learningcited by 38
  8. 2022Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuningcited by 25
  9. 2023FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answeringcited by 24
  10. 2023LLM for SoC Security: A Paradigm Shiftcited by 22
  11. 2023LoFT: Local Proxy Fine-tuning For Improving Transferability Of Adversarial Attacks Against Large Language Modelcited by 21
  12. 2021Refocusing on Relevance: Personalization in NLGcited by 18
23 more
  1. 2021SHARE: a System for Hierarchical Assistive Recipe Editingcited by 15
  2. 2024Waterfall: Framework for Robust and Scalable Text Watermarking and Provenance for LLMscited by 14
  3. 2021ConRPG: Paraphrase Generation using Contexts as Regularizercited by 13
  4. 2024A Comprehensive Survey of Contamination Detection Methods in Large Language Modelscited by 12
  5. 2022Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solverscited by 9
  6. 2021An Approach to Improve Robustness of NLP Systems against ASR Errorscited by 8
  7. 2024Improving Black-box Robustness with In-Context Rewritingcited by 8
  8. 2023Math Word Problem Solving by Generating Linguistic Variants of Problem Statementscited by 7
  9. 2024Validating LLM-Generated Programs with Metamorphic Prompt Testingcited by 6
  10. 2022Uniform Complexity for Text Generationcited by 4
  11. 2023Conversational Process Modeling: Can Generative AI Empower Domain Experts in Creating and Redesigning Process Models?cited by 4
  12. 2024Reconstruction of Differentially Private Text Sanitization via Large Language Modelscited by 4
  13. 2025SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searchescited by 3
  14. 2022Quick Starting Dialog Systems with Paraphrase Generationcited by 2
  15. 2022Understanding Metrics for Paraphrasingcited by 1
  16. 2025QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewritingcited by 1
  17. 2026TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMscited by 1
  18. 2021Paraphrase Generation as Unsupervised Machine Translationcited by 0
  19. 2023Automatic Translation of Hate Speech to Non-hate Speech in Social Media Textscited by 0
  20. 2025SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generationcited by 0
  21. 2026No One Size Fits All: QueryBandits for Hallucination Mitigationcited by 0
  22. 2026Combating Data Laundering in LLM Trainingcited by 0
  23. 2026TEAR: Table Extraction with Attribute Recommendation from Texts via Large Language Modelscited by 0