---
title: "Who cites Delete, Retrieve, Generate: A Simple Approach to…"
description: "The papers of the Elamur Research library that cite «Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer», found in their…"
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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.research.elamur.ai/free/en/papers/li-2018-delete-retrieve-generate-simple-approach/)

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

1. [All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection](https://aclanthology.org/2026.acl-long.492/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [AraSentEval 2026: A Shared Task on Sentiment Analysis and Swapping in Arabic](https://aclanthology.org/2026.osact-1.34/) *— 2026 · The 7th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT7) with 5 Shared Tasks*
3. [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)*
4. [Directed Attention is All You Need: Profiling Style from Limited Text Data](https://aclanthology.org/2026.sigturk-1.2/) *— 2026 · Proceedings of the Second Workshop Natural Language Processing for Turkic Languages (SIGTURK 2026)*
5. [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)*
6. [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*
7. [Learning Optimal Message Representations for Agentic Communication](https://aclanthology.org/2026.findings-acl.1441/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
8. [LingGen: Scalable Multi-Attribute Linguistic Control via Power-Law Masking](https://aclanthology.org/2026.eacl-long.85/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
9. [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)*
10. [Unsupervised Text Style Transfer for Controllable Intensity](https://aclanthology.org/2026.findings-eacl.133/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
11. [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*
12. [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)*
13. [Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting](https://arxiv.org/abs/2503.06781) *— 2025 · arXiv:2503.06781*
14. [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)*
15. [LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification](https://aclanthology.org/2025.findings-ijcnlp.59/) *— 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*
16. [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*
17. [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*
18. [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*
19. [Positive Text Reframing under Multi-strategy Optimization](https://aclanthology.org/2025.coling-main.29/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
20. [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)*
21. [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*
22. [A Survey of Text Style Transfer: Applications and Ethical Implications](https://arxiv.org/abs/2407.16737) *— 2024 · arXiv:2407.16737*
23. [A Survey on Natural Language Counterfactual Generation](https://aclanthology.org/2024.findings-emnlp.276/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
24. [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*
25. [CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language Generations](https://aclanthology.org/2024.eacl-long.80/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
26. [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)*
27. [Distilling Text Style Transfer With Self-Explanation From LLMs](https://arxiv.org/abs/2403.01106) *— 2024 · arXiv:2403.01106*
28. [EmoTransKG: An Innovative Emotion Knowledge Graph to Reveal Emotion Transformation](https://aclanthology.org/2024.findings-acl.720/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
29. [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)*
30. [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*
31. [Formality Style Transfer in Persian](https://arxiv.org/abs/2406.00867) *— 2024 · arXiv:2406.00867*
32. [GPT-DETOX: An In-Context Learning-Based Paraphraser for Text Detoxification](https://arxiv.org/abs/2404.03052) *— 2024 · arXiv:2404.03052*
33. [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*
34. [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)*
35. [LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots](https://arxiv.org/abs/2403.08943) *— 2024 · arXiv:2403.08943*
36. [LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows](https://aclanthology.org/2024.naacl-long.215/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
37. [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*
38. [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*
39. [Multilingual Text Style Transfer: Datasets & Models for Indian Languages](https://arxiv.org/abs/2405.20805) *— 2024 · arXiv:2405.20805*
40. [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*
41. [Pluggable Neural Machine Translation Models via Memory-augmented Adapters](https://aclanthology.org/2024.lrec-main.1120/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
42. [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*
43. [Reference-guided Style-Consistent Content Transfer](https://aclanthology.org/2024.lrec-main.1201/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
44. [Reusing Transferable Weight Increments for Low-resource Style Generation](https://aclanthology.org/2024.emnlp-main.145/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
45. [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)*
46. [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*
47. [Step-by-Step: Controlling Arbitrary Style in Text with Large Language Models](https://aclanthology.org/2024.lrec-main.1328/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
48. [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)*
49. [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)*
50. [Text Style Transfer: An Introductory Overview](https://arxiv.org/abs/2407.14822) *— 2024 · arXiv:2407.14822*
51. [Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions](https://arxiv.org/abs/2402.13647) *— 2024 · arXiv:2402.13647*
52. [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)*
53. [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*
54. [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)*
55. [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)*
56. [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*
57. [AMR-TST: Abstract Meaning Representation-based Text Style Transfer](https://md.research.elamur.ai/free/en/papers/shi-2023-amr-tst-abstract-meaning-representation/) *— our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
58. [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*
59. [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)*
60. [Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising](https://arxiv.org/abs/2312.14708) *— 2023 · arXiv:2312.14708*
61. [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*
62. [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*
63. [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*
64. [Can Authorship Representation Learning Capture Stylistic Features?](https://aclanthology.org/2023.tacl-1.80/) *— 2023 · Transactions of the Association for Computational Linguistics*
65. [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*
66. [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)*
67. [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*
68. [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*
69. [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*
70. [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*
71. [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*
72. [Few-Shot Domain Adaptation for Charge Prediction on Unprofessional Descriptions](https://arxiv.org/abs/2309.17313) *— 2023 · arXiv:2309.17313*
73. [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*
74. [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*
75. [Generating Video Game Scripts with Style](https://aclanthology.org/2023.nlp4convai-1.11/) *— 2023 · Proceedings of the 5th Workshop on NLP for Conversational AI (NLP4ConvAI 2023)*
76. [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*
77. [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)*
78. [MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer](https://arxiv.org/abs/2306.07994) *— 2023 · arXiv:2306.07994*
79. [Multidimensional Evaluation for Text Style Transfer Using ChatGPT](https://arxiv.org/abs/2304.13462) *— 2023 · arXiv:2304.13462*
80. [Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control](https://aclanthology.org/2023.findings-acl.758/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
81. [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*
82. [Prefix-Tuning Based Unsupervised Text Style Transfer](https://aclanthology.org/2023.findings-emnlp.990/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
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. [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*
86. [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*
87. [STEER: Unified Style Transfer with Expert Reinforcement](https://aclanthology.org/2023.findings-emnlp.506/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
88. [Self-Refine: Iterative Refinement with Self-Feedback](https://arxiv.org/abs/2303.17651) *— 2023 · arXiv:2303.17651*
89. [Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training](https://arxiv.org/abs/2309.10929) *— 2023 · arXiv:2309.10929*
90. [Steering Language Models With Activation Engineering](https://arxiv.org/abs/2308.10248) *— 2023 · arXiv:2308.10248*
91. [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*
92. [Stylized Dialogue Generation with Feature-Guided Knowledge Augmentation](https://aclanthology.org/2023.findings-emnlp.475/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
93. [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)*
94. [Text Fact Transfer](https://aclanthology.org/2023.emnlp-main.288/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
95. [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)*
96. [Towards Zero-Shot Multilingual Poetry Translation](https://aclanthology.org/2023.mtsummit-research.27/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
97. [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*
98. [Unsupervised Text Style Transfer with Deep Generative Models](https://arxiv.org/abs/2308.16584) *— 2023 · arXiv:2308.16584*
99. [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*
100. [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)*

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