mlsanityData to 7 Oct 2026

Dear Sir or Madam, May I introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer

arXiv 1803.06535 ↗First posted 17 Mar 2018cs.CLcited by 209

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Abstract (arXiv)

Style transfer is the task of automatically transforming a piece of text in one particular style into another. A major barrier to progress in this field has been a lack of training and evaluation datasets, as well as benchmarks and automatic metrics. In this work, we create the largest corpus for a particular stylistic transfer (formality) and show that techniques from the machine translation community can serve as strong baselines for future work. We also discuss challenges of using automatic metrics.

Key facts. Cited by 209 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Mar 2018.

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Citing papers per year: 2021: 39; 2022: 45; 2023: 51; 2024: 37; 2025: 20; 2026: 17.

209 papers.

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  1. 2021FUDGE: Controlled Text Generation With Future Discriminatorscited by 374
  2. 2023In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steeringcited by 240
  3. 2021The GEM Benchmark: Natural Language Generation, its Evaluation and Metricscited by 239
  4. 2023"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letterscited by 196
  5. 2021Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfercited by 147
  6. 2024Benchmarking Complex Instruction-Following with Multiple Constraints Compositioncited by 147
  7. 2021A Recipe For Arbitrary Text Style Transfer with Large Language Modelscited by 107
  8. 2021The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generationcited by 96
  9. 2023Controlled Text Generation with Natural Language Instructionscited by 87
  10. 2022Same Author or Just Same Topic? Towards Content-Independent Style Representationscited by 83
  11. 2021Controlled Text Generation as Continuous Optimization with Multiple Constraintscited by 70
  12. 2023CoEdIT: Text Editing by Task-Specific Instruction Tuningcited by 67
38 more
  1. 2023RewriteLM: An Instruction-Tuned Large Language Model for Text Rewritingcited by 67
  2. 2022Mix and Match: Learning-free Controllable Text Generation using Energy Language Modelscited by 66
  3. 2023Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmarkcited by 62
  4. 2022Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decodingcited by 54
  5. 2022LENS: A Learnable Evaluation Metric for Text Simplificationcited by 54
  6. 2021Text Detoxification using Large Pre-trained Neural Modelscited by 52
  7. 2021XFORMAL: A Benchmark for Multilingual Formality Style Transfercited by 51
  8. 2022Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Modelscited by 49
  9. 2023ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfercited by 49
  10. 2023Teach LLMs to Personalize -- An Approach inspired by Writing Educationcited by 48
  11. 2022Controllable Text Generation with Neurally-Decomposed Oraclecited by 41
  12. 2024Multi-property Steering of Large Language Models with Dynamic Activation Compositioncited by 35
  13. 2021StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfercited by 34
  14. 2021Civil Rephrases Of Toxic Texts With Self-Supervised Transformerscited by 32
  15. 2022Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterancescited by 32
  16. 2024StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examplescited by 32
  17. 2022Inducing Positive Perspectives with Text Reframingcited by 31
  18. 2023Training Models to Generate, Recognize, and Reframe Unhelpful Thoughtscited by 31
  19. 2023Learning Interpretable Style Embeddings via Prompting LLMscited by 29
  20. 2021Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfercited by 28
  21. 2022Composable Text Controls in Latent Space with ODEscited by 28
  22. 2022Text Style Transfer for Bias Mitigation using Masked Language Modelingcited by 27
  23. 2023Don't lose the message while paraphrasing: A study on content preserving style transfercited by 25
  24. 2022CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formalitycited by 24
  25. 2023ALDi: Quantifying the Arabic Level of Dialectness of Textcited by 24
  26. 2024Style-Specific Neurons for Steering LLMs in Text Style Transfercited by 24
  27. 2021Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfercited by 23
  28. 2024Under the Surface: Tracking the Artifactuality of LLM-Generated Datacited by 23
  29. 2022TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languagescited by 21
  30. 2021Few-shot Controllable Style Transfer for Low-Resource Multilingual Settingscited by 20
  31. 2022IT5: Text-to-text Pretraining for Italian Language Understanding and Generationcited by 20
  32. 2022Improving Iterative Text Revision by Learning Where to Edit from Other Revision Taskscited by 20
  33. 2021A Review of Human Evaluation for Style Transfercited by 19
  34. 2022Why is constrained neural language generation particularly challenging?cited by 19
  35. 2021A Review of Text Style Transfer using Deep Learningcited by 18
  36. 2024Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifscited by 18
  37. 2021Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Frameworkcited by 17
  38. 2022Text Revision by On-the-Fly Representation Optimizationcited by 17

50 most cited of 209 All 209 (JSON)