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home / docs / papers / cited-by / Who cites «Reformulating Unsupervised Style Transfer as Paraphrase Generation» · page 2

Who cites «Reformulating Unsupervised Style Transfer as Paraphrase Generation» · page 2

163 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Pages: 1 · 2

  1. SimpleStyle: An Adaptable Style Transfer Approach — 2022 · arXiv:2212.10498
  2. So Different Yet So Alike! Constrained Unsupervised Text Style Transfer — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  3. Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  4. StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  5. T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation — our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  6. Text Style Transfer via Optimal Transport — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  7. Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  8. UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  9. VALUE: Understanding Dialect Disparity in NLU — our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  10. arXivEdits: Understanding the Human Revision Process in Scientific Writing — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  11. A Recipe For Arbitrary Text Style Transfer with Large Language Models — 2021 · arXiv:2109.03910
  12. Beyond Grammatical Error Correction: Improving L1-influenced research writing in English using pre-trained encoder-decoder models — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  13. Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  14. Controlling Machine Translation for Multiple Attributes with Additive Interventions — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  15. ConvFiT: Conversational Fine-Tuning of Pretrained Language Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  16. Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  17. Don''t Go Far Off: An Empirical Study on Neural Poetry Translation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  18. Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer — our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  19. Fundamental Exploration of Evaluation Metrics for Persona Characteristics of Text Utterances — 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
  20. IGA: An Intent-Guided Authoring Assistant — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  21. Idiomatic Expression Paraphrasing without Strong Supervision — 2021 · arXiv:2112.08592
  22. LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  23. Methods for Detoxification of Texts for the Russian Language — 2021 · arXiv:2105.09052
  24. Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  25. Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  26. Multi-granularity Textual Adversarial Attack with Behavior Cloning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  27. Olá, Bonjour, Salve! XFORMAL: A Benchmark for Multilingual Formality Style Transfer — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  28. Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  29. Rethinking Sentiment Style Transfer — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  30. StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  31. Text Detoxification using Large Pre-trained Neural Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  32. TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  33. The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  34. Transductive Learning for Unsupervised Text Style Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  35. XFORMAL: A Benchmark for Multilingual Formality Style Transfer — 2021 · arXiv:2104.04108
  36. adelani-2021-preventing-author-profiling-through-zero
  37. cho-2025-tuning-free-personalized-alignment-trial
  38. choi-2024-hard-prompts-made-interpretable-sparse
  39. das-2023-balancing-effect-training-dataset-distribution
  40. diao-2023-doolittle-benchmarks-corpora-academic-writing
  41. du-2024-backdoor-nlp-models-ai-generated
  42. esuli-2024-you-write-like-gpt
  43. gulati-2025-putnam-axiom-functional-static-benchmark
  44. gupta-2026-learning-optimal-message-representations-agentic
  45. iso-2024-noisy-pairing-partial-supervision-stylized
  46. keh-2022-pineapple-personifying-inanimate-entities-acquiring
  47. kim-2023-gta-gated-toxicity-avoidance-lm
  48. kim-2026-interpreting-style-representations-style-eliciting
  49. kuila-2023-analyzing-sentiment-polarity-reduction-news
  50. kumar-2025-whose-story-is-it-personalizing
  51. liu-2024-authorship-style-transfer-policy-optimization
  52. mai-2022-bag-vectors-autoencoders-unsupervised-conditional
  53. marie-2023-disfluency-generation-more-robust-dialogue
  54. mcgovern-2026-models-know-more-than-they
  55. pedrotti-2025-stress-testing-machine-generated-text
  56. pour-2024-gaussian-process-optimization-adaptable-multi
  57. s-2024-tale-two-revisions-summarizing-changes
  58. scalercio-2023-proposta-e-avaliacao-linguistica-de
  59. schaefer-2025-fraunhofer-sit-genai-detection-task
  60. sha-2024-text-attribute-control-closed-loop
  61. wang-2023-stylebart-decorate-pretrained-model-style
  62. wang-2025-data-centric-nlp-backdoor-defense
  63. yang-2022-mask-regenerate-classifier-based-approach

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