[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/krishna-2020-reformulating-unsupervised-style-transfer-as-2/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/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](https://md.mova.elamur.ai/free/en/docs/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/krishna-2020-reformulating-unsupervised-style-transfer-as/) · **2**

1. [SimpleStyle: An Adaptable Style Transfer Approach](https://arxiv.org/abs/2212.10498) *— 2022 · arXiv:2212.10498*
2. [So Different Yet So Alike! Constrained Unsupervised Text Style Transfer](https://aclanthology.org/2022.acl-long.32/) *— 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](https://aclanthology.org/2022.emnlp-main.120/) *— 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](https://aclanthology.org/2022.lrec-1.771/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
5. [T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation](https://md.mova.elamur.ai/free/en/docs/papers/jangra-2022-t-star-truthful-style-transfer/) *— our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
6. [Text Style Transfer via Optimal Transport](https://aclanthology.org/2022.naacl-main.182/) *— 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](https://aclanthology.org/2022.naacl-main.34/) *— 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](https://aclanthology.org/2022.acl-long.426/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
9. [VALUE: Understanding Dialect Disparity in NLU](https://md.mova.elamur.ai/free/en/docs/papers/ziems-2022-value-understanding-dialect-disparity-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](https://aclanthology.org/2022.emnlp-main.641/) *— 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](https://arxiv.org/abs/2109.03910) *— 2021 · arXiv:2109.03910*
12. [Beyond Grammatical Error Correction: Improving L1-influenced research writing in English using pre-trained encoder-decoder models](https://aclanthology.org/2021.findings-emnlp.216/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
13. [Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation](https://aclanthology.org/2021.emnlp-main.599/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
14. [Controlling Machine Translation for Multiple Attributes with Additive Interventions](https://aclanthology.org/2021.emnlp-main.535/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
15. [ConvFiT: Conversational Fine-Tuning of Pretrained Language Models](https://aclanthology.org/2021.emnlp-main.88/) *— 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](https://aclanthology.org/2021.emnlp-main.569/) *— 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](https://aclanthology.org/2021.emnlp-main.577/) *— 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](https://md.mova.elamur.ai/free/en/docs/papers/briakou-2021-evaluating-evaluation-metrics-style-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](https://aclanthology.org/2021.sigdial-1.19/) *— 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
20. [IGA: An Intent-Guided Authoring Assistant](https://aclanthology.org/2021.emnlp-main.483/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
21. [Idiomatic Expression Paraphrasing without Strong Supervision](https://arxiv.org/abs/2112.08592) *— 2021 · arXiv:2112.08592*
22. [LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer](https://aclanthology.org/2021.findings-acl.344/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
23. [Methods for Detoxification of Texts for the Russian Language](https://arxiv.org/abs/2105.09052) *— 2021 · arXiv:2105.09052*
24. [Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer](https://aclanthology.org/2021.emnlp-main.374/) *— 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](https://aclanthology.org/2021.findings-emnlp.175/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
26. [Multi-granularity Textual Adversarial Attack with Behavior Cloning](https://aclanthology.org/2021.emnlp-main.371/) *— 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](https://aclanthology.org/2021.naacl-main.256/) *— 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](https://aclanthology.org/2021.emnlp-main.846/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
29. [Rethinking Sentiment Style Transfer](https://aclanthology.org/2021.findings-emnlp.135/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
30. [StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer](https://aclanthology.org/2021.naacl-main.171/) *— 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](https://aclanthology.org/2021.emnlp-main.629/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
32. [TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling](https://aclanthology.org/2021.acl-long.293/) *— 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](https://aclanthology.org/2021.emnlp-main.97/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
34. [Transductive Learning for Unsupervised Text Style Transfer](https://aclanthology.org/2021.emnlp-main.195/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
35. [XFORMAL: A Benchmark for Multilingual Formality Style Transfer](https://arxiv.org/abs/2104.04108) *— 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

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/krishna-2020-reformulating-unsupervised-style-transfer-as/) · **2**

- [← previous Who cites «Reformulating Unsupervised Style Transfer as Paraphrase Generation»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/krishna-2020-reformulating-unsupervised-style-transfer-as/)
- [next → Who cites «Singletons and Coreference Resolution Evaluation»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/kubler-2011-singletons-coreference-resolution-evaluation/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)