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# Who cites «Style Transfer from Non-Parallel Text by Cross-Alignment»

385 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/shen-2017-style-transfer-non-parallel-text/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2017-style-transfer-non-parallel-text-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2017-style-transfer-non-parallel-text-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2017-style-transfer-non-parallel-text-4/)

1. [Harnessing the Latent Space: From Steering Vectors to Model Calibrators for Control and Trust](https://aclanthology.org/2026.bigpicture-main.10/) *— 2026 · Proceedings of The Big Picture v2: Crafting a Research Narrative*
2. [Language Modeling and Understanding Through Paraphrase Generation and Detection](https://arxiv.org/abs/2602.08274) *— 2026 · arXiv:2602.08274*
3. [No Innocence in Styling: Discovery of Privacy Protection Capabilities and Security Risks in Consumer Generative AI Writing Assistants](https://aclanthology.org/2026.acl-industry.128/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)*
4. [Text Style Transfer with Parameter-efficient LLM Finetuning and Round-trip Translation](https://arxiv.org/abs/2602.15013) *— 2026 · arXiv:2602.15013*
5. [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*
6. [Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications](https://aclanthology.org/2025.findings-emnlp.118/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
7. [Colloquial Singaporean English Style Transfer with Fine-Grained Explainable Control](https://aclanthology.org/2025.acl-long.1309/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting](https://arxiv.org/abs/2503.06781) *— 2025 · arXiv:2503.06781*
9. [Evaluating Text Style Transfer Evaluation: Are There Any Reliable Metrics?](https://aclanthology.org/2025.naacl-srw.41/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)*
10. [Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping](https://arxiv.org/abs/2505.07888) *— 2025 · arXiv:2505.07888*
11. [Learning Text Styles: A Study on Transfer, Attribution, and Verification](https://arxiv.org/abs/2507.16530) *— 2025 · arXiv:2507.16530*
12. [Neuron Activation Modulation for Text Style Transfer: Guiding Large Language Models](https://aclanthology.org/2025.findings-acl.403/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
13. [On the Impact of Noise in Differentially Private Text Rewriting](https://aclanthology.org/2025.findings-naacl.32/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
14. [SANSKRITI: A Comprehensive Benchmark for Evaluating Language Models'' Knowledge of Indian Culture](https://aclanthology.org/2025.findings-acl.228/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
15. [Style Knowledge Graph: Augmenting Text Style Transfer with Knowledge Graphs](https://aclanthology.org/2025.genaik-1.13/) *— 2025 · Proceedings of the Workshop on Generative AI and Knowledge Graphs (GenAIK)*
16. [A Survey of Text Style Transfer: Applications and Ethical Implications](https://arxiv.org/abs/2407.16737) *— 2024 · arXiv:2407.16737*
17. [Action Controlled Paraphrasing](https://arxiv.org/abs/2405.11277) *— 2024 · arXiv:2405.11277*
18. [An Empirical Analysis of the Writing Styles of Persona-Assigned LLMs](https://aclanthology.org/2024.emnlp-main.1079/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
19. [An LLM-Enhanced Adversarial Editing System for Lexical Simplification](https://aclanthology.org/2024.lrec-main.102/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
20. [Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation](https://aclanthology.org/2024.acl-long.351/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
21. [Bias in Large Language Models: Origin, Evaluation, and Mitigation](https://arxiv.org/abs/2411.10915) *— 2024 · arXiv:2411.10915*
22. [Customized Style Transfer using Discrete Sampling](https://aclanthology.org/2024.customnlp4u-1.12/) *— 2024 · Proceedings of the 1st Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U)*
23. [CycleGN: A Cycle Consistent Approach for Neural Machine Translation](https://aclanthology.org/2024.wmt-1.10/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
24. [DetoxLLM: A Framework for Detoxification with Explanations](https://aclanthology.org/2024.emnlp-main.1066/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
25. [Distilling Text Style Transfer With Self-Explanation From LLMs](https://arxiv.org/abs/2403.01106) *— 2024 · arXiv:2403.01106*
26. [Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs](https://aclanthology.org/2024.personalize-1.6/) *— 2024 · Proceedings of the 1st Workshop on Personalization of Generative AI Systems (PERSONALIZE 2024)*
27. [Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs](https://aclanthology.org/2024.findings-acl.258/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
28. [LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots](https://arxiv.org/abs/2403.08943) *— 2024 · arXiv:2403.08943*
29. [Learning from Response not Preference: A Stackelberg Approach for LLM Detoxification using Non-parallel Data](https://arxiv.org/abs/2410.20298) *— 2024 · arXiv:2410.20298*
30. [Multi-Objective Linguistic Control of Large Language Models](https://aclanthology.org/2024.findings-acl.257/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
31. [Multilingual Text Style Transfer: Datasets & Models for Indian Languages](https://arxiv.org/abs/2405.20805) *— 2024 · arXiv:2405.20805*
32. [PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer](https://aclanthology.org/2024.findings-emnlp.495/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
33. [Reduction-Synthesis: Plug-and-Play for Sentiment Style Transfer](https://aclanthology.org/2024.inlg-main.28/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
34. [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*
35. [Style Vectors for Steering Generative Large Language Models](https://aclanthology.org/2024.findings-eacl.52/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
36. [Style-Specific Neurons for Steering LLMs in Text Style Transfer](https://aclanthology.org/2024.emnlp-main.745/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
37. [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)*
38. [Text Style Transfer Evaluation Using Large Language Models](https://aclanthology.org/2024.lrec-main.1373/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
39. [Text Style Transfer: An Introductory Overview](https://arxiv.org/abs/2407.14822) *— 2024 · arXiv:2407.14822*
40. [Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions](https://arxiv.org/abs/2402.13647) *— 2024 · arXiv:2402.13647*
41. [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)*
42. [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*
43. [Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer](https://aclanthology.org/2023.findings-emnlp.50/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
44. [Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising](https://arxiv.org/abs/2312.14708) *— 2023 · arXiv:2312.14708*
45. [Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy](https://aclanthology.org/2023.findings-acl.334/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
46. [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*
47. [Composable Text Controls in Latent Space with ODEs](https://aclanthology.org/2023.emnlp-main.1030/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
48. [Conversation Style Transfer using Few-Shot Learning](https://aclanthology.org/2023.ijcnlp-main.9/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
49. [DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering](https://aclanthology.org/2023.acl-long.539/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
50. [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)*
51. [Don''t Take This Out of Context!: On the Need for Contextual Models and Evaluations for Stylistic Rewriting](https://aclanthology.org/2023.emnlp-main.701/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
52. [FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation](https://aclanthology.org/2023.tacl-1.39/) *— 2023 · Transactions of the Association for Computational Linguistics*
53. [Fluency Matters! Controllable Style Transfer with Syntax Guidance](https://aclanthology.org/2023.wassa-1.15/) *— 2023 · Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis*
54. [Generating Summaries with Controllable Readability Levels](https://aclanthology.org/2023.emnlp-main.714/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
55. [IC3: Image Captioning by Committee Consensus](https://aclanthology.org/2023.emnlp-main.556/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
56. [In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering](https://arxiv.org/abs/2311.06668) *— 2023 · arXiv:2311.06668*
57. [Learning Disentangled Meaning and Style Representations for Positive Text Reframing](https://aclanthology.org/2023.inlg-main.31/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
58. [Learning Interpretable Style Embeddings via Prompting LLMs](https://aclanthology.org/2023.findings-emnlp.1020/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
59. [Leveraging Low-resource Parallel Data for Text Style Transfer](https://aclanthology.org/2023.inlg-main.27/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
60. [MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer](https://arxiv.org/abs/2306.07994) *— 2023 · arXiv:2306.07994*
61. [Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts](https://arxiv.org/abs/2302.09155) *— 2023 · arXiv:2302.09155*
62. [Multidimensional Evaluation for Text Style Transfer Using ChatGPT](https://arxiv.org/abs/2304.13462) *— 2023 · arXiv:2304.13462*
63. [On Text Style Transfer via Style-Aware Masked Language Models](https://aclanthology.org/2023.inlg-main.25/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
64. [Paraphrase Types for Generation and Detection](https://aclanthology.org/2023.emnlp-main.746/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
65. [Prefix-Tuning Based Unsupervised Text Style Transfer](https://aclanthology.org/2023.findings-emnlp.990/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
66. [Prompt-Based Editing for Text Style Transfer](https://aclanthology.org/2023.findings-emnlp.381/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
67. [Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions](https://aclanthology.org/2023.findings-acl.42/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
68. [STEER: Unified Style Transfer with Expert Reinforcement](https://aclanthology.org/2023.findings-emnlp.506/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
69. [Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training](https://arxiv.org/abs/2309.10929) *— 2023 · arXiv:2309.10929*
70. [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)*
71. [Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages](https://aclanthology.org/2023.eacl-main.112/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
72. [Tailor: A Soft-Prompt-Based Approach to Attribute-Based Controlled Text Generation](https://aclanthology.org/2023.acl-long.25/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
73. [Text Detoxification as Style Transfer in English and Hindi](https://aclanthology.org/2023.icon-1.13/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
74. [The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions](https://aclanthology.org/2023.emnlp-main.146/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
75. [Translating away Translationese without Parallel Data](https://aclanthology.org/2023.emnlp-main.438/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
76. [Unsupervised Style Transfer in News Headlines via Discrete Style Space](https://aclanthology.org/2023.ccl-1.55/) *— 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics*
77. [Unsupervised Text Style Transfer with Deep Generative Models](https://arxiv.org/abs/2308.16584) *— 2023 · arXiv:2308.16584*
78. [ViPE: Visualise Pretty-much Everything](https://aclanthology.org/2023.emnlp-main.333/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
79. [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)*
80. [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*
81. [Audience-Centric Natural Language Generation via Style Infusion](https://aclanthology.org/2022.findings-emnlp.138/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
82. [AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning](https://aclanthology.org/2022.findings-emnlp.170/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
83. [CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation](https://aclanthology.org/2022.acl-long.164/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
84. [Challenges and Strategies in Cross-Cultural NLP](https://aclanthology.org/2022.acl-long.482/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
85. [Computational Sarcasm Analysis on Social Media: A Systematic Review](https://arxiv.org/abs/2209.06170) *— 2022 · arXiv:2209.06170*
86. [Controllable Dictionary Example Generation: Generating Example Sentences for Specific Targeted Audiences](https://aclanthology.org/2022.acl-long.46/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
87. [Deep Learning for Text Style Transfer: A Survey](https://aclanthology.org/2022.cl-1.6/) *— 2022 · Computational Linguistics*
88. [Don''t Take It Literally: An Edit-Invariant Sequence Loss for Text Generation](https://aclanthology.org/2022.naacl-main.150/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
89. [Every picture tells a story: Image-grounded controllable stylistic story generation](https://aclanthology.org/2022.latechclfl-1.6/) *— 2022 · Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature*
90. [Exploiting Social Media Content for Self-Supervised Style Transfer](https://aclanthology.org/2022.socialnlp-1.2/) *— 2022 · Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media*
91. [Exploring Cross-lingual Text Detoxification with Large Multilingual Language Models.](https://aclanthology.org/2022.acl-srw.26/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
92. [Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models](https://arxiv.org/abs/2206.02252) *— 2022 · arXiv:2206.02252*
93. [Extracting Latent Steering Vectors from Pretrained Language Models](https://aclanthology.org/2022.findings-acl.48/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
94. [Gradient-guided Unsupervised Text Style Transfer via Contrastive Learning](https://arxiv.org/abs/2202.00469) *— 2022 · arXiv:2202.00469*
95. [Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer](https://aclanthology.org/2022.humeval-1.9/) *— 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)*
96. [HydraSum: Disentangling Style Features in Text Summarization with Multi-Decoder Models](https://aclanthology.org/2022.emnlp-main.30/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
97. [Improving Text Simplification with Factuality Error Detection](https://aclanthology.org/2022.tsar-1.16/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
98. [Inducing Positive Perspectives with Text Reframing](https://aclanthology.org/2022.acl-long.257/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
99. [Learning from Bootstrapping and Stepwise Reinforcement Reward: A Semi-Supervised Framework for Text Style Transfer](https://aclanthology.org/2022.findings-naacl.201/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
100. [Learning to Model Editing Processes](https://aclanthology.org/2022.findings-emnlp.280/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*

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