mlsanityData to 7 Oct 2026

Text Style Transfer: An Introductory Overview

arXiv 2407.14822 ↗First posted 20 Jul 2024cs.CLcited by 5

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Abstract (arXiv)

Text Style Transfer (TST) is a pivotal task in natural language generation to manipulate text style attributes while preserving style-independent content. The attributes targeted in TST can vary widely, including politeness, authorship, mitigation of offensive language, modification of feelings, and adjustment of text formality. TST has become a widely researched topic with substantial advancements in recent years. This paper provides an introductory overview of TST, addressing its challenges, existing approaches, datasets, evaluation measures, subtasks, and applications. This fundamental overview improves understanding of the background and fundamentals of text style transfer.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 54 of its 94 references that are in the map. First posted on arXiv 20 Jul 2024.

Builds on

54 of 94 references.

References · 54

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  4. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
  5. 2014Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translationcited by 4,016
  6. 2014Sequence to Sequence Learning with Neural Networkscited by 2,974
  7. 2019How Can We Know What Language Models Know?cited by 953
  8. 2018Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representationscited by 929
  9. 2019Plug and Play Language Models: A Simple Approach to Controlled Text Generationcited by 793
  10. 2020Recipes for building an open-domain chatbotcited by 593
  11. 2016Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filteringcited by 517
  12. 2017Toward Controlled Generation of Textcited by 271
38 more
  1. 2017Style Transfer from Non-Parallel Text by Cross-Alignmentcited by 246
  2. 2016A Persona-Based Neural Conversation Modelcited by 221
  3. 2018Dear Sir or Madam, May I introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfercited by 209
  4. 2018Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfercited by 191
  5. 2021Reframing Instructional Prompts to GPTk's Languagecited by 176
  6. 2017Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memorycited by 167
  7. 2020Deep Learning for Text Style Transfer: A Surveycited by 161
  8. 2017Style Transfer in Text: Exploration and Evaluationcited by 145
  9. 2018Disentangled Representation Learning for Non-Parallel Text Style Transfercited by 127
  10. 2015Neural Responding Machine for Short-Text Conversationcited by 124
  11. 2018Style Transfer Through Back-Translationcited by 124
  12. 2017Understanding Abuse: A Typology of Abusive Language Detection Subtaskscited by 115
  13. 2021A Recipe For Arbitrary Text Style Transfer with Large Language Modelscited by 107
  14. 2019Automatically Neutralizing Subjective Bias in Textcited by 105
  15. 2019Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representationcited by 84
  16. 2019Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfercited by 81
  17. 2020Politeness Transfer: A Tag and Generate Approachcited by 78
  18. 2020A Probabilistic Formulation of Unsupervised Text Style Transfercited by 70
  19. 2019A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfercited by 65
  20. 2019Evaluating Style Transfer for Textcited by 59
  21. 2017Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence Modelscited by 57
  22. 2018Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approachcited by 55
  23. 2018Fighting Offensive Language on Social Media with Unsupervised Text Style Transfercited by 55
  24. 2020Exploring Controllable Text Generation Techniquescited by 55
  25. 2022Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Modelscited by 49
  26. 2020Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymencited by 45
  27. 2019IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translationcited by 33
  28. 2018Adversarial Text Generation via Feature-Mover's Distancecited by 27
  29. 2018Augmenting Neural Response Generation with Context-Aware Topical Attentioncited by 27
  30. 2018A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarizationcited by 21
  31. 2018End-to-End Content and Plan Selection for Data-to-Text Generationcited by 20
  32. 2021Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalizationcited by 20
  33. 2018Style Transfer as Unsupervised Machine Translationcited by 19
  34. 2021A Review of Text Style Transfer using Deep Learningcited by 18
  35. 2024Are Large Language Models Actually Good at Text Style Transfer?cited by 13
  36. 2017Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Modelscited by 12
  37. 2024Text Detoxification as Style Transfer in English and Hindicited by 11
  38. 2024Multilingual Text Style Transfer: Datasets & Models for Indian Languagescited by 9

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 2.

5 papers.

  1. 2025LLMs can be easily Confused by Instructional Distractionscited by 12
  2. 2025Evaluating Text Style Transfer Evaluation: Are There Any Reliable Metrics?cited by 4
  3. 2026TSM-Bench: Detecting LLM-Generated Text in Real-World Wikipedia Editing Practicescited by 2
  4. 2025StyleAdaptedLM: Enhancing Instruction Following Models with Efficient Stylistic Transfercited by 0
  5. 2026Casual as an Anchor: Resolving Supervision Misalignment in Formality Transfer Datasetcited by 0