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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

Pages: 1 · 2 · 3 · 4

  1. Diff4TST: Masked Diffusion Language Model for Text Style Transfer — 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 — 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 — 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 — 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 — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  6. A Benchmark for Translations Across Styles and Language Variants — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  7. Colloquial Singaporean English Style Transfer with Fine-Grained Explainable Control — 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 — 2025 · arXiv:2503.06781
  9. Evaluating Text Style Transfer Evaluation: Are There Any Reliable Metrics? — 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 — 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 — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  12. Neuron Activation Modulation for Text Style Transfer: Guiding Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  13. Style Knowledge Graph: Augmenting Text Style Transfer with Knowledge Graphs — 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 — 2025 · arXiv:2505.12821
  15. A Survey of Text Style Transfer: Applications and Ethical Implications — 2024 · arXiv:2407.16737
  16. A Survey on Natural Language Counterfactual Generation — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  17. Are Large Language Models Actually Good at Text Style Transfer? — 2024 · Proceedings of the 17th International Natural Language Generation Conference
  18. Disentangled Learning with Synthetic Parallel Data for Text Style Transfer — 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 — 2024 · arXiv:2403.01106
  20. Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs — 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 — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  22. Formality Style Transfer in Persian — 2024 · arXiv:2406.00867
  23. GPT-DETOX: An In-Context Learning-Based Paraphraser for Text Detoxification — 2024 · arXiv:2404.03052
  24. LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots — 2024 · arXiv:2403.08943
  25. Learning from Response not Preference: A Stackelberg Approach for LLM Detoxification using Non-parallel Data — 2024 · arXiv:2410.20298
  26. Modified Iterative Matching and Translation Approach for Formality Style Transfer in a Low-Resource Setting — 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
  27. Multilingual Text Style Transfer: Datasets & Models for Indian Languages — 2024 · arXiv:2405.20805
  28. NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human — 2024 · arXiv:2406.03749
  29. Reduction-Synthesis: Plug-and-Play for Sentiment Style Transfer — 2024 · Proceedings of the 17th International Natural Language Generation Conference
  30. SC2: Towards Enhancing Content Preservation and Style Consistency in Long Text Style Transfer — 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 — 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 — 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 — 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 — 2024 · arXiv:2407.14822
  35. Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions — 2024 · arXiv:2402.13647
  36. Word Embeddings Are Steers for Language Models — 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 — 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) — 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) — 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 — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  41. AMR-TST: Abstract Meaning Representation-based Text Style Transfer — 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 — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  43. Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising — 2023 · arXiv:2312.14708
  44. Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy — 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 — 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 — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  47. Can Authorship Representation Learning Capture Stylistic Features? — 2023 · Transactions of the Association for Computational Linguistics
  48. Composable Text Controls in Latent Space with ODEs — 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 — 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 — 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 — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  52. Emotion and Sentiment Guided Paraphrasing — 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 — 2023 · Transactions of the Association for Computational Linguistics
  54. Few-Shot Domain Adaptation for Charge Prediction on Unprofessional Descriptions — 2023 · arXiv:2309.17313
  55. Fluency Matters! Controllable Style Transfer with Syntax Guidance — 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 — 2023 · Transactions of the Association for Computational Linguistics
  57. Leveraging Low-resource Parallel Data for Text Style Transfer — 2023 · Proceedings of the 16th International Natural Language Generation Conference
  58. Low-Resource Text Style Transfer for Bangla: Data & Models — 2023 · Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)
  59. MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer — 2023 · arXiv:2306.07994
  60. Multidimensional Evaluation for Text Style Transfer Using ChatGPT — 2023 · arXiv:2304.13462
  61. On Text Style Transfer via Style-Aware Masked Language Models — 2023 · Proceedings of the 16th International Natural Language Generation Conference
  62. Prefix-Tuning Based Unsupervised Text Style Transfer — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  63. Prompt-Based Editing for Text Style Transfer — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  64. Reinforced Sequence Training based Subjective Bias Correction — 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 — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  66. STEER: Unified Style Transfer with Expert Reinforcement — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  67. Self-Refine: Iterative Refinement with Self-Feedback — 2023 · arXiv:2303.17651
  68. Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training — 2023 · arXiv:2309.10929
  69. Steering Language Models With Activation Engineering — 2023 · arXiv:2308.10248
  70. StyLEx: Explaining Style Using Human Lexical Annotations — 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 — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
  72. Text Style Transfer with Contrastive Transfer Pattern Mining — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  73. Towards Zero-Shot Multilingual Poetry Translation — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  74. Unsupervised Style Transfer in News Headlines via Discrete Style Space — 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics
  75. Unsupervised Text Style Transfer with Deep Generative Models — 2023 · arXiv:2308.16584
  76. VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  77. A Recipe for Arbitrary Text Style Transfer with Large Language Models — 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 — 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 — 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 — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  81. Audience-Centric Natural Language Generation via Style Infusion — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  82. Controllable Dictionary Example Generation: Generating Example Sentences for Specific Targeted Audiences — 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 — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  84. Deep Learning for Text Style Transfer: A Survey — 2022 · Computational Linguistics
  85. Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media — 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 — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  87. Domain Confused Contrastive Learning for Unsupervised Domain Adaptation — 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 — 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 — 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 — 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 — 2022 · arXiv:2202.00469
  92. Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer — 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 — 2022 · Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)
  94. Inducing Positive Perspectives with Text Reframing — 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 — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  96. Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation — 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 — 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? — our card · 2022 · arXiv:2212.08986
  99. MOVER: Mask, Over-generate and Rank for Hyperbole Generation — 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 — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

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