---
title: "Who cites Reformulating Unsupervised Style Transfer as…"
description: "The papers of the Elamur Research library that cite «Reformulating Unsupervised Style Transfer as Paraphrase Generation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Reformulating Unsupervised Style Transfer as…](https://md.research.elamur.ai/free/en/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/) / cited by

# Who cites «Reformulating Unsupervised Style Transfer as Paraphrase Generation»

163 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/)

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

1. [Benchmarking Arabic Authorship Attribution and Style Transfer with Large Language Models](https://aclanthology.org/2026.lrec-1.576/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworks](https://arxiv.org/abs/2609.02772) *— 2026 · arXiv:2609.02772*
3. [Interpreting Style Representations via Style-Eliciting Prompts](https://aclanthology.org/2026.findings-acl.2039/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
4. [JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in Hebrew](https://md.research.elamur.ai/free/en/papers/findings-2026-razumenko-judgemenot-personalizing-large-language-models/) *— our card · 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
5. [Learning Optimal Message Representations for Agentic Communication](https://aclanthology.org/2026.findings-acl.1441/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
6. [Text Style Transfer with Parameter-efficient LLM Finetuning and Round-trip Translation](https://arxiv.org/abs/2602.15013) *— 2026 · arXiv:2602.15013*
7. [When Models Know More Than They Say: Probing Analogical Reasoning in LLMs](https://arxiv.org/abs/2604.03877) *— 2026 · arXiv:2604.03877*
8. [A Decoupled Multi-Agent Framework for Complex Text Style Transfer](https://aclanthology.org/2025.findings-emnlp.1166/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
9. [Analysing Zero-Shot Readability-Controlled Sentence Simplification](https://aclanthology.org/2025.coling-main.452/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
10. [Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks](https://aclanthology.org/2025.findings-emnlp.259/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
11. [Data-centric NLP Backdoor Defense from the Lens of Memorization](https://aclanthology.org/2025.findings-naacl.316/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
12. [Evaluating Synthetic Data Generation from User Generated Text](https://aclanthology.org/2025.cl-1.6/) *— 2025 · Computational Linguistics*
13. [Fraunhofer SIT at GenAI Detection Task 1: Adapter Fusion for AI-generated Text Detection](https://aclanthology.org/2025.genaidetect-1.17/) *— 2025 · Proceedings of the 1stWorkshop on GenAI Content Detection (GenAIDetect)*
14. [LCFO: Long Context and Long Form Output Dataset and Benchmarking](https://aclanthology.org/2025.findings-acl.556/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
15. [LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs?](https://aclanthology.org/2025.naacl-long.526/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
16. [MahaParaphrase: A Marathi Paraphrase Detection Corpus and BERT-based Models](https://aclanthology.org/2025.paclic-1.59/) *— 2025 · Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation*
17. [Masks and Mimicry: Strategic Obfuscation and Impersonation Attacks on Authorship Verification](https://aclanthology.org/2025.nlp4dh-1.10/) *— 2025 · Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities*
18. [Mitigating Paraphrase Attacks on Machine-Text Detection via Paraphrase Inversion](https://aclanthology.org/2025.findings-acl.227/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
19. [PARAPHRASUS: A Comprehensive Benchmark for Evaluating Paraphrase Detection Models](https://aclanthology.org/2025.coling-main.585/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
20. [Putnam-AXIOM: A Functional and Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs](https://arxiv.org/abs/2508.08292) *— 2025 · arXiv:2508.08292 · ICML 2025*
21. [Socratic Reasoning Improves Positive Text Rewriting](https://aclanthology.org/2025.clpsych-1.12/) *— 2025 · Proceedings of the 10th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2025)*
22. [Steering Large Language Models with Register Analysis for Arbitrary Style Transfer](https://arxiv.org/abs/2505.00679) *— 2025 · arXiv:2505.00679*
23. [Stress-testing Machine Generated Text Detection: Shifting Language Models Writing Style to Fool Detectors](https://aclanthology.org/2025.findings-acl.156/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
24. [Style Transfer with Multi-iteration Preference Optimization](https://aclanthology.org/2025.naacl-long.135/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
25. [SynthDetoxM: Modern LLMs are Few-Shot Parallel Detoxification Data Annotators](https://aclanthology.org/2025.naacl-long.294/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
26. [Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning](https://aclanthology.org/2025.findings-naacl.326/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
27. [Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing](https://aclanthology.org/2025.acl-long.624/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
28. [Whose story is it? Personalizing story generation by inferring author styles](https://aclanthology.org/2025.ijcnlp-long.82/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
29. [A Tale of Two Revisions: Summarizing Changes Across Document Versions](https://aclanthology.org/2024.findings-acl.190/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
30. [Authorship Style Transfer with Policy Optimization](https://arxiv.org/abs/2403.08043) *— 2024 · arXiv:2403.08043*
31. [AutoTemplate: A Simple Recipe for Lexically Constrained Text Generation](https://aclanthology.org/2024.inlg-main.1/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
32. [Backdoor NLP Models via AI-Generated Text](https://aclanthology.org/2024.lrec-main.186/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
33. [ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger](https://aclanthology.org/2024.naacl-long.165/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
34. [Detection and Measurement of Syntactic Templates in Generated Text](https://aclanthology.org/2024.emnlp-main.368/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
35. [Distilling Text Style Transfer With Self-Explanation From LLMs](https://arxiv.org/abs/2403.01106) *— 2024 · arXiv:2403.01106*
36. [Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models](https://aclanthology.org/2024.emnlp-main.679/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
37. [Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation](https://aclanthology.org/2024.acl-long.710/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
38. [Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution Distortion](https://aclanthology.org/2024.eacl-long.33/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models](https://aclanthology.org/2024.findings-naacl.99/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
40. [Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL](https://aclanthology.org/2024.acl-long.449/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
41. [ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer](https://aclanthology.org/2024.acl-long.854/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
42. [JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models](https://aclanthology.org/2024.naacl-long.87/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
43. [Mitigating Paraphrase Attacks on Machine-Text Detectors via Paraphrase Inversion](https://arxiv.org/abs/2410.21637) *— 2024 · arXiv:2410.21637*
44. [Modified Iterative Matching and Translation Approach for Formality Style Transfer in a Low-Resource Setting](https://aclanthology.org/2024.paclic-1.55/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
45. [Noisy Pairing and Partial Supervision for Stylized Opinion Summarization](https://aclanthology.org/2024.inlg-main.2/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
46. [SC2: Towards Enhancing Content Preservation and Style Consistency in Long Text Style Transfer](https://aclanthology.org/2024.acl-long.535/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering](https://arxiv.org/abs/2411.11504) *— 2024 · arXiv:2411.11504*
48. [Sequence-to-sequence and transformer approaches to Portuguese text style transfer](https://aclanthology.org/2024.propor-1.54/) *— 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1*
49. [StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer](https://aclanthology.org/2024.lrec-main.1336/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
50. [StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements](https://md.research.elamur.ai/free/en/papers/fisher-2024-styleremix-interpretable-authorship-obfuscation-distillation/) *— our card · 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
51. [Task-Oriented Paraphrase Analytics](https://aclanthology.org/2024.lrec-main.1360/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
52. [Text Attribute Control via Closed-Loop Disentanglement](https://aclanthology.org/2024.tacl-1.11/) *— 2024 · Transactions of the Association for Computational Linguistics*
53. [TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings](https://aclanthology.org/2024.findings-emnlp.781/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
54. [Transfer-Learning based on Extract, Paraphrase and Compress Models for Neural Abstractive Multi-Document Summarization](https://aclanthology.org/2024.inlg-main.17/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
55. [What”s Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs](https://aclanthology.org/2024.emnlp-main.52/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
56. [You Write like a GPT](https://aclanthology.org/2024.clicit-1.41/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
57. [A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation](https://aclanthology.org/2023.conll-1.26/) *— 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)*
58. [A Call for Standardization and Validation of Text Style Transfer Evaluation](https://aclanthology.org/2023.findings-acl.687/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
59. [A Question of Style: A Dataset for Analyzing Formality on Different Levels](https://aclanthology.org/2023.findings-eacl.42/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
60. [Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models](https://aclanthology.org/2023.icon-1.11/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
61. [Attention-Enhancing Backdoor Attacks Against BERT-based Models](https://aclanthology.org/2023.findings-emnlp.716/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
62. [Attractive Storyteller: Stylized Visual Storytelling with Unpaired Text](https://aclanthology.org/2023.acl-long.619/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
63. [BITE: Textual Backdoor Attacks with Iterative Trigger Injection](https://aclanthology.org/2023.acl-long.725/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
64. [Balancing the Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer](https://aclanthology.org/2023.findings-acl.243/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
65. [Bubble up – A Fine-tuning Approach for Style Transfer to Community-specific Subreddit Language](https://aclanthology.org/2023.cpss-1.5/) *— 2023 · Proceedings of the 3rd Workshop on Computational Linguistics for the Political and Social Sciences*
66. [COUNT: COntrastive UNlikelihood Text Style Transfer for Text Detoxification](https://aclanthology.org/2023.findings-emnlp.579/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
67. [Can Authorship Representation Learning Capture Stylistic Features?](https://aclanthology.org/2023.tacl-1.80/) *— 2023 · Transactions of the Association for Computational Linguistics*
68. [ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness](https://aclanthology.org/2023.emnlp-main.117/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
69. [DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models](https://arxiv.org/abs/2306.11698) *— 2023 · arXiv:2306.11698*
70. [Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts](https://aclanthology.org/2023.acl-short.21/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
71. [Disfluency Generation for More Robust Dialogue Systems](https://aclanthology.org/2023.findings-acl.728/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
72. [Don”t lose the message while paraphrasing: A study on content preserving style transfer](https://arxiv.org/abs/2308.09055) *— 2023 · arXiv:2308.09055*
73. [Doolittle: Benchmarks and Corpora for Academic Writing Formalization](https://aclanthology.org/2023.emnlp-main.809/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
74. [GTA: Gated Toxicity Avoidance for LM Performance Preservation](https://aclanthology.org/2023.findings-emnlp.983/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
75. [Guiding Zero-Shot Paraphrase Generation with Fine-Grained Control Tokens](https://aclanthology.org/2023.starsem-1.29/) *— 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)*
76. [LENS: A Learnable Evaluation Metric for Text Simplification](https://aclanthology.org/2023.acl-long.905/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
77. [Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers](https://aclanthology.org/2023.findings-emnlp.833/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
78. [Multi-VALUE: A Framework for Cross-Dialectal English NLP](https://md.research.elamur.ai/free/en/papers/ziems-2023-multi-value-framework-cross-dialectal/) *— our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
79. [NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints](https://aclanthology.org/2023.acl-long.528/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
80. [NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation](https://nejlt.ep.liu.se/article/view/4725) *— 2023 · Northern European Journal of Language Technology*
81. [ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer](https://arxiv.org/abs/2308.15459) *— 2023 · arXiv:2308.15459*
82. [Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense](https://arxiv.org/abs/2303.13408) *— 2023 · arXiv:2303.13408*
83. [Prompt-Based Editing for Text Style Transfer](https://aclanthology.org/2023.findings-emnlp.381/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
84. [Proposta e Avaliação Linguistica de Tecnicas de Aumento de Dados](https://aclanthology.org/2023.stil-1.22/) *— 2023 · Proceedings of the 14th Brazilian Symposium in Information and Human Language Technology*
85. [STEER: Unified Style Transfer with Expert Reinforcement](https://aclanthology.org/2023.findings-emnlp.506/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
86. [StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing](https://aclanthology.org/2023.acl-long.827/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
87. [StyleBART: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generation](https://aclanthology.org/2023.findings-emnlp.697/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
88. [Text Style Transfer Back-Translation](https://aclanthology.org/2023.acl-long.441/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
89. [Translating Legalese: Enhancing Public Understanding of Court Opinions with Legal Summarizers](https://arxiv.org/abs/2311.06534) *— 2023 · arXiv:2311.06534*
90. [Uniform Complexity for Text Generation](https://aclanthology.org/2023.findings-emnlp.805/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
91. [A Recipe for Arbitrary Text Style Transfer with Large Language Models](https://aclanthology.org/2022.acl-short.94/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
92. [A Study on Manual and Automatic Evaluation for Text Style Transfer: The Case of Detoxification](https://aclanthology.org/2022.humeval-1.8/) *— 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)*
93. [A large-scale computational study of content preservation measures for text style transfer and paraphrase generation](https://aclanthology.org/2022.acl-srw.23/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
94. [AugCSE: Contrastive Sentence Embedding with Diverse Augmentations](https://aclanthology.org/2022.aacl-main.30/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
95. [Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation](https://aclanthology.org/2022.aacl-main.36/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
96. [BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset](https://aclanthology.org/2022.aacl-short.33/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
97. [CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation](https://aclanthology.org/2022.findings-emnlp.216/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
98. [CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation](https://aclanthology.org/2022.emnlp-main.158/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
99. [CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting](https://aclanthology.org/2022.emnlp-main.814/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
100. [Deep Learning for Text Style Transfer: A Survey](https://aclanthology.org/2022.cl-1.6/) *— 2022 · Computational Linguistics*

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