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# Who cites «Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models»

97 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/jhamtani-2017-shakespearizing-modern-language-copy-enriched/)

1. [Text Style Transfer with Parameter-efficient LLM Finetuning and Round-trip Translation](https://arxiv.org/abs/2602.15013) *— 2026 · arXiv:2602.15013*
2. [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)*
3. [Dynamic Steering With Episodic Memory For Large Language Models](https://aclanthology.org/2025.findings-acl.706/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
4. [Learning Text Styles: A Study on Transfer, Attribution, and Verification](https://arxiv.org/abs/2507.16530) *— 2025 · arXiv:2507.16530*
5. [Steering Large Language Models with Register Analysis for Arbitrary Style Transfer](https://arxiv.org/abs/2505.00679) *— 2025 · arXiv:2505.00679*
6. [A Survey of Text Style Transfer: Applications and Ethical Implications](https://arxiv.org/abs/2407.16737) *— 2024 · arXiv:2407.16737*
7. [Distilling Text Style Transfer With Self-Explanation From LLMs](https://arxiv.org/abs/2403.01106) *— 2024 · arXiv:2403.01106*
8. [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)*
9. [MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization](https://aclanthology.org/2024.findings-emnlp.577/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
10. [Multilingual Text Style Transfer: Datasets & Models for Indian Languages](https://arxiv.org/abs/2405.20805) *— 2024 · arXiv:2405.20805*
11. [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*
12. [Text Style Transfer: An Introductory Overview](https://arxiv.org/abs/2407.14822) *— 2024 · arXiv:2407.14822*
13. [A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training](https://aclanthology.org/2023.acl-long.818/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [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)*
15. [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*
16. [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*
17. [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*
18. [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)*
19. [Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training](https://arxiv.org/abs/2309.10929) *— 2023 · arXiv:2309.10929*
20. [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)*
21. [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*
22. [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*
23. [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*
24. [BERT in Plutarch's Shadows](https://aclanthology.org/2022.emnlp-main.407/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
25. [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)*
26. [Deep Learning for Text Style Transfer: A Survey](https://aclanthology.org/2022.cl-1.6/) *— 2022 · Computational Linguistics*
27. [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*
28. [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)*
29. [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*
30. [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*
31. [RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning](https://aclanthology.org/2022.emnlp-main.222/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
32. [Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model](https://aclanthology.org/2022.emnlp-main.366/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
33. [Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition](https://aclanthology.org/2022.emnlp-main.120/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
34. [StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands](https://aclanthology.org/2022.lrec-1.771/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
35. [``Slow Service'''' \ensuremath\nrightarrow ``Great Food'''': Enhancing Content Preservation in Unsupervised Text Style Transfer](https://aclanthology.org/2022.inlg-main.3/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
36. [A Hierarchical VAE for Calibrating Attributes while Generating Text using Normalizing Flow](https://aclanthology.org/2021.acl-long.187/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
37. [A Review of Text Style Transfer using Deep Learning](https://arxiv.org/abs/2109.15144) *— 2021 · arXiv:2109.15144 · IEEE Transactions on Artificial Intelligence (TAI), (2021)*
38. [Contextualizing Variation in Text Style Transfer Datasets](https://aclanthology.org/2021.inlg-1.22/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
39. [DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting](https://aclanthology.org/2021.eacl-main.73/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
40. [ER-AE: Differentially Private Text Generation for Authorship Anonymization](https://aclanthology.org/2021.naacl-main.314/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
41. [ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning](https://arxiv.org/abs/2111.10952) *— 2021 · arXiv:2111.10952*
42. [Idiomatic Expression Paraphrasing without Strong Supervision](https://arxiv.org/abs/2112.08592) *— 2021 · arXiv:2112.08592*
43. [Improving Formality Style Transfer with Context-Aware Rule Injection](https://aclanthology.org/2021.acl-long.124/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
44. [Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features](https://aclanthology.org/2021.eacl-main.325/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
45. [NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer](https://aclanthology.org/2021.findings-acl.138/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
46. [PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing](https://aclanthology.org/2021.mwe-1.5/) *— 2021 · Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)*
47. [StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer](https://aclanthology.org/2021.naacl-main.171/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
48. [TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling](https://aclanthology.org/2021.acl-long.293/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
49. [Unsupervised Text Style Transfer with Content Embeddings](https://aclanthology.org/2021.ranlp-1.27/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
50. [基于风格化嵌入的中文文本风格迁移(Chinese text style transfer based on stylized embedding)](https://aclanthology.org/2021.ccl-1.26/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
51. [A Probabilistic Formulation of Unsupervised Text Style Transfer](https://arxiv.org/abs/2002.03912) *— 2020 · arXiv:2002.03912*
52. [An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation](https://aclanthology.org/2020.coling-industry.6/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track*
53. [Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline](https://aclanthology.org/2020.socialnlp-1.6/) *— 2020 · Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media*
54. [Context-Aware Automatic Text Simplification of Health Materials in Low-Resource Domains](https://aclanthology.org/2020.louhi-1.13/) *— 2020 · Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis*
55. [Contextual Text Style Transfer](https://aclanthology.org/2020.findings-emnlp.263/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
56. [Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen](https://aclanthology.org/2020.acl-main.100/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
57. [How Positive Are You: Text Style Transfer using Adaptive Style Embedding](https://aclanthology.org/2020.coling-main.191/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
58. [Learning to Generate Multiple Style Transfer Outputs for an Input Sentence](https://aclanthology.org/2020.ngt-1.2/) *— 2020 · Proceedings of the Fourth Workshop on Neural Generation and Translation*
59. [Lost in Back-Translation: Emotion Preservation in Neural Machine Translation](https://aclanthology.org/2020.coling-main.384/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
60. [Parallel Data Augmentation for Formality Style Transfer](https://aclanthology.org/2020.acl-main.294/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
61. [Politeness Transfer: A Tag and Generate Approach](https://aclanthology.org/2020.acl-main.169/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
62. [Reinforced Rewards Framework for Text Style Transfer](https://arxiv.org/abs/2005.05256) *— 2020 · arXiv:2005.05256*
63. [Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation](https://arxiv.org/abs/2011.03286) *— 2020 · arXiv:2011.03286*
64. [Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization](https://aclanthology.org/2020.findings-emnlp.212/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
65. [Story-level Text Style Transfer: A Proposal](https://aclanthology.org/2020.acl-srw.2/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
66. [Text Style Transfer: A Review and Experimental Evaluation](https://arxiv.org/abs/2010.12742) *— 2020 · arXiv:2010.12742 · KDD Explorations 24 (2022) 14-45*
67. [(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas](https://aclanthology.org/D19-1179/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
68. [Answer-based Adversarial Training for Generating Clarification Questions](https://aclanthology.org/N19-1013/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
69. [Domain Adaptive Text Style Transfer](https://aclanthology.org/D19-1325/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
70. [Generating Formality-Tuned Summaries Using Input-Dependent Rewards](https://aclanthology.org/K19-1078/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
71. [Grammatical Error Correction and Style Transfer via Zero-shot Monolingual Translation](https://arxiv.org/abs/1903.11283) *— 2019 · arXiv:1903.11283*
72. [IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation](https://aclanthology.org/D19-1306/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
73. [Low Level Linguistic Controls for Style Transfer and Content Preservation](https://aclanthology.org/W19-8628/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
74. [Negative Lexically Constrained Decoding for Paraphrase Generation](https://aclanthology.org/P19-1607/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
75. [Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus](https://aclanthology.org/N19-1320/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
76. [Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites](https://aclanthology.org/D19-1406/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
77. [Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer](https://md.mova.elamur.ai/free/en/docs/papers/rao-2018-dear-sir-or-madam-may/) *— our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
78. [Multi-Task Neural Models for Translating Between Styles Within and Across Languages](https://aclanthology.org/C18-1086/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
79. [Polite Dialogue Generation Without Parallel Data](https://aclanthology.org/Q18-1027/) *— 2018*
80. [QuaSE: Accurate Text Style Transfer under Quantifiable Guidance](https://arxiv.org/abs/1804.07007) *— 2018 · arXiv:1804.07007*
81. [QuaSE: Sequence Editing under Quantifiable Guidance](https://aclanthology.org/D18-1420/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
82. [Sentiment Transfer using Seq2Seq Adversarial Autoencoders](https://arxiv.org/abs/1804.04003) *— 2018 · arXiv:1804.04003*
83. [What is wrong with style transfer for texts?](https://arxiv.org/abs/1808.04365) *— 2018 · arXiv:1808.04365*
84. [Evaluating prose style transfer with the Bible](https://md.mova.elamur.ai/free/en/docs/papers/carlson-2017-evaluating-prose-style-transfer-bible/) *— our card · 2017 · arXiv:1711.04731 · Royal Society open science 5.10 (2018): 171920*
85. [Style Transfer in Text: Exploration and Evaluation](https://arxiv.org/abs/1711.06861) *— 2017 · arXiv:1711.06861*
86. akdag-2026-directed-attention-is-all-you
87. cardon-2020-reducing-search-space-parallel-sentences
88. chandrasekar-2026-medhastra-dravidianlangtech-2026-piecewise-style
89. das-2023-balancing-effect-training-dataset-distribution
90. hegel-2020-substance-over-style-document-level
91. jia-2025-positive-text-reframing-under-multi
92. kashyap-2019-prose-painting
93. kumar-2022-genre-transfer-nmt-creating-synthetic
94. labroo-2026-funny-or-persuasive-but-not
95. li-2025-facilitating-cross-lingual-transfer-empathy
96. liu-2023-sentbench-comprehensive-evaluation-self-supervised
97. stahlberg-2022-conciseness-overlooked-language-task
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