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# Who cites «Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer»

305 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/li-2018-delete-retrieve-generate-simple-approach/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/li-2018-delete-retrieve-generate-simple-approach-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/li-2018-delete-retrieve-generate-simple-approach-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/li-2018-delete-retrieve-generate-simple-approach-4/)

1. [Diff4TST: Masked Diffusion Language Model for Text Style Transfer](https://aclanthology.org/2026.acl-long.306/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [Don''t Be Misled by Style: A Style-Adaptive Reranker for Capturing Effective Knowledge in Retrieval-Augmented Generation](https://aclanthology.org/2026.acl-long.302/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Evaluating Text Style Transfer: A Nine-language Benchmark for Text Detoxification](https://aclanthology.org/2026.lrec-1.358/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
4. [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)*
5. [Unsupervised Text Style Transfer for Controllable Intensity](https://aclanthology.org/2026.findings-eacl.133/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
6. [A Benchmark for Translations Across Styles and Language Variants](https://aclanthology.org/2025.findings-emnlp.129/) *— 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. [Multilingual and Explainable Text Detoxification with Parallel Corpora](https://aclanthology.org/2025.coling-main.535/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
11. [NAP2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human](https://aclanthology.org/2025.findings-emnlp.476/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
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. [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)*
14. [SynDec: A Synthesize-then-Decode Approach for Arbitrary Textual Style Transfer via Large Language Models](https://arxiv.org/abs/2505.12821) *— 2025 · arXiv:2505.12821*
15. [A Survey of Text Style Transfer: Applications and Ethical Implications](https://arxiv.org/abs/2407.16737) *— 2024 · arXiv:2407.16737*
16. [A Survey on Natural Language Counterfactual Generation](https://aclanthology.org/2024.findings-emnlp.276/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
17. [Are Large Language Models Actually Good at Text Style Transfer?](https://aclanthology.org/2024.inlg-main.42/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
18. [Disentangled Learning with Synthetic Parallel Data for Text Style Transfer](https://aclanthology.org/2024.acl-long.811/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Distilling Text Style Transfer With Self-Explanation From LLMs](https://arxiv.org/abs/2403.01106) *— 2024 · arXiv:2403.01106*
20. [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)*
21. [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*
22. [Formality Style Transfer in Persian](https://arxiv.org/abs/2406.00867) *— 2024 · arXiv:2406.00867*
23. [GPT-DETOX: An In-Context Learning-Based Paraphraser for Text Detoxification](https://arxiv.org/abs/2404.03052) *— 2024 · arXiv:2404.03052*
24. [LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots](https://arxiv.org/abs/2403.08943) *— 2024 · arXiv:2403.08943*
25. [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*
26. [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*
27. [Multilingual Text Style Transfer: Datasets & Models for Indian Languages](https://arxiv.org/abs/2405.20805) *— 2024 · arXiv:2405.20805*
28. [NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human](https://arxiv.org/abs/2406.03749) *— 2024 · arXiv:2406.03749*
29. [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*
30. [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)*
31. [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*
32. [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)*
33. [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)*
34. [Text Style Transfer: An Introductory Overview](https://arxiv.org/abs/2407.14822) *— 2024 · arXiv:2407.14822*
35. [Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions](https://arxiv.org/abs/2402.13647) *— 2024 · arXiv:2402.13647*
36. [Word Embeddings Are Steers for Language Models](https://aclanthology.org/2024.acl-long.864/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [XDetox: Text Detoxification with Token-Level Toxicity Explanations](https://aclanthology.org/2024.emnlp-main.848/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
38. [基于文本风格迁移的中文性别歧视文本去毒研究(Research on detoxification of Chinese sexist texts based on text style transfer)](https://aclanthology.org/2024.ccl-1.47/) *— 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)*
39. [文本样式和主题框架引导下的大模型辅助儿童新闻生成(Text Styles and Thematic Framework Guided Large Modeling to Aid Children's News Generation)](https://aclanthology.org/2024.ccl-1.11/) *— 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)*
40. [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*
41. [AMR-TST: Abstract Meaning Representation-based Text Style Transfer](https://md.mova.elamur.ai/free/en/docs/papers/shi-2023-amr-tst-abstract-meaning-representation/) *— our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
42. [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*
43. [Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising](https://arxiv.org/abs/2312.14708) *— 2023 · arXiv:2312.14708*
44. [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*
45. [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*
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. [Can Authorship Representation Learning Capture Stylistic Features?](https://aclanthology.org/2023.tacl-1.80/) *— 2023 · Transactions of the Association for Computational Linguistics*
48. [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*
49. [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)*
50. [Diversify Question Generation with Retrieval-Augmented Style Transfer](https://aclanthology.org/2023.emnlp-main.104/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
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. [Emotion and Sentiment Guided Paraphrasing](https://aclanthology.org/2023.wassa-1.7/) *— 2023 · Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis*
53. [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*
54. [Few-Shot Domain Adaptation for Charge Prediction on Unprofessional Descriptions](https://arxiv.org/abs/2309.17313) *— 2023 · arXiv:2309.17313*
55. [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*
56. [General then Personal: Decoupling and Pre-training for Personalized Headline Generation](https://aclanthology.org/2023.tacl-1.90/) *— 2023 · Transactions of the Association for Computational Linguistics*
57. [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*
58. [Low-Resource Text Style Transfer for Bangla: Data & Models](https://aclanthology.org/2023.banglalp-1.5/) *— 2023 · Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)*
59. [MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer](https://arxiv.org/abs/2306.07994) *— 2023 · arXiv:2306.07994*
60. [Multidimensional Evaluation for Text Style Transfer Using ChatGPT](https://arxiv.org/abs/2304.13462) *— 2023 · arXiv:2304.13462*
61. [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*
62. [Prefix-Tuning Based Unsupervised Text Style Transfer](https://aclanthology.org/2023.findings-emnlp.990/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
63. [Prompt-Based Editing for Text Style Transfer](https://aclanthology.org/2023.findings-emnlp.381/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
64. [Reinforced Sequence Training based Subjective Bias Correction](https://aclanthology.org/2023.eacl-main.189/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
65. [Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model](https://aclanthology.org/2023.emnlp-main.721/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
66. [STEER: Unified Style Transfer with Expert Reinforcement](https://aclanthology.org/2023.findings-emnlp.506/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
67. [Self-Refine: Iterative Refinement with Self-Feedback](https://arxiv.org/abs/2303.17651) *— 2023 · arXiv:2303.17651*
68. [Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training](https://arxiv.org/abs/2309.10929) *— 2023 · arXiv:2309.10929*
69. [Steering Language Models With Activation Engineering](https://arxiv.org/abs/2308.10248) *— 2023 · arXiv:2308.10248*
70. [StyLEx: Explaining Style Using Human Lexical Annotations](https://aclanthology.org/2023.eacl-main.208/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
71. [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)*
72. [Text Style Transfer with Contrastive Transfer Pattern Mining](https://aclanthology.org/2023.acl-long.439/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
73. [Towards Zero-Shot Multilingual Poetry Translation](https://aclanthology.org/2023.mtsummit-research.27/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
74. [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*
75. [Unsupervised Text Style Transfer with Deep Generative Models](https://arxiv.org/abs/2308.16584) *— 2023 · arXiv:2308.16584*
76. [VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing](https://aclanthology.org/2023.findings-emnlp.690/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
77. [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)*
78. [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)*
79. [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*
80. [APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations](https://aclanthology.org/2022.coling-1.530/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
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. [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)*
83. [Controlled Text Generation Using Dictionary Prior in Variational Autoencoders](https://aclanthology.org/2022.findings-acl.10/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
84. [Deep Learning for Text Style Transfer: A Survey](https://aclanthology.org/2022.cl-1.6/) *— 2022 · Computational Linguistics*
85. [Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media](https://aclanthology.org/2022.naacl-main.112/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
86. [Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers](https://aclanthology.org/2022.emnlp-main.794/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
87. [Domain Confused Contrastive Learning for Unsupervised Domain Adaptation](https://aclanthology.org/2022.naacl-main.217/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
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. [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*
90. [Generative Cross-Domain Data Augmentation for Aspect and Opinion Co-Extraction](https://aclanthology.org/2022.naacl-main.312/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
91. [Gradient-guided Unsupervised Text Style Transfer via Contrastive Learning](https://arxiv.org/abs/2202.00469) *— 2022 · arXiv:2202.00469*
92. [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)*
93. [Incorporating Subjectivity into Gendered Ambiguous Pronoun (GAP) Resolution using Style Transfer](https://aclanthology.org/2022.gebnlp-1.28/) *— 2022 · Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)*
94. [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)*
95. [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*
96. [Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation](https://aclanthology.org/2022.naacl-main.426/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
97. [Low Resource Style Transfer via Domain Adaptive Meta Learning](https://aclanthology.org/2022.naacl-main.220/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
98. [Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?](https://md.mova.elamur.ai/free/en/docs/papers/patel-2022-low-resource-authorship-style-transfer/) *— our card · 2022 · arXiv:2212.08986*
99. [MOVER: Mask, Over-generate and Rank for Hyperbole Generation](https://aclanthology.org/2022.naacl-main.440/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
100. [Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances](https://aclanthology.org/2022.naacl-main.377/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*

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