---
title: "Who cites Paraphrasing for Style"
description: "The papers of the Elamur Research library that cite «Paraphrasing for Style», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/xu-2012-paraphrasing-style/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Paraphrasing for Style](https://md.research.elamur.ai/free/en/papers/xu-2012-paraphrasing-style/) / cited by

# Who cites «Paraphrasing for Style»

111 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/xu-2012-paraphrasing-style/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/xu-2012-paraphrasing-style/cited-by/page/2/)

1. [AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing](https://md.research.elamur.ai/free/en/papers/thillainathan-2026-authormix-modular-authorship-style-transfer/) *— our card · 2026 · arXiv:2603.23069*
2. [LLM-induced Rationales for More Compact Explainable Style Classification Models](https://aclanthology.org/2026.findings-acl.1426/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
3. [Text Style Transfer with Parameter-efficient LLM Finetuning and Round-trip Translation](https://arxiv.org/abs/2602.15013) *— 2026 · arXiv:2602.15013*
4. [A Systematic Survey of Automatic Prompt Optimization Techniques](https://aclanthology.org/2025.emnlp-main.1681/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
5. [Challenging Assumptions in Learning Generic Text Style Embeddings](https://aclanthology.org/2025.insights-1.1/) *— 2025 · The Sixth Workshop on Insights from Negative Results in NLP*
6. [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)*
7. [How Stylistic Similarity Shapes Preferences in Dialogue Dataset with User and Third Party Evaluations](https://aclanthology.org/2025.sigdial-1.15/) *— 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
8. [LLM-Friendly Knowledge Representation for Customer Support](https://aclanthology.org/2025.coling-industry.42/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics: Industry Track*
9. [Learning Text Styles: A Study on Transfer, Attribution, and Verification](https://arxiv.org/abs/2507.16530) *— 2025 · arXiv:2507.16530*
10. [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*
11. [Steering Large Language Models with Register Analysis for Arbitrary Style Transfer](https://arxiv.org/abs/2505.00679) *— 2025 · arXiv:2505.00679*
12. [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)*
13. [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*
14. [Authorship Style Transfer with Policy Optimization](https://arxiv.org/abs/2403.08043) *— 2024 · arXiv:2403.08043*
15. [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)*
16. [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)*
17. [Distilling Text Style Transfer With Self-Explanation From LLMs](https://arxiv.org/abs/2403.01106) *— 2024 · arXiv:2403.01106*
18. [LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots](https://arxiv.org/abs/2403.08943) *— 2024 · arXiv:2403.08943*
19. [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*
20. [Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding](https://aclanthology.org/2024.acl-long.740/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
21. [Proofread: Fixes All Errors with One Tap](https://aclanthology.org/2024.acl-demos.27/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
22. [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*
23. [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*
24. [Text Style Transfer: An Introductory Overview](https://arxiv.org/abs/2407.14822) *— 2024 · arXiv:2407.14822*
25. [Towards an On-device Agent for Text Rewriting](https://aclanthology.org/2024.findings-naacl.163/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
26. [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)*
27. [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*
28. [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)*
29. [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*
30. [Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA](https://aclanthology.org/2023.emnlp-main.211/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
31. [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*
32. [Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding](https://aclanthology.org/2023.findings-acl.262/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
33. [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*
34. [LENS: A Learnable Evaluation Metric for Text Simplification](https://aclanthology.org/2023.acl-long.905/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [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*
36. [Prompt-Based Editing for Text Style Transfer](https://aclanthology.org/2023.findings-emnlp.381/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
37. [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*
38. [Responsibility Perspective Transfer for Italian Femicide News](https://aclanthology.org/2023.findings-acl.501/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
39. [RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting](https://arxiv.org/abs/2305.15685) *— 2023 · arXiv:2305.15685 · AAAI 2024*
40. [Text Fact Transfer](https://aclanthology.org/2023.emnlp-main.288/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
41. [What Makes a Good Paraphrase: Do Automated Evaluations Work?](https://arxiv.org/abs/2307.14818) *— 2023 · arXiv:2307.14818*
42. [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*
43. [Deep Learning for Text Style Transfer: A Survey](https://aclanthology.org/2022.cl-1.6/) *— 2022 · Computational Linguistics*
44. [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)*
45. [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)*
46. [Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?](https://md.research.elamur.ai/free/en/papers/patel-2022-low-resource-authorship-style-transfer/) *— our card · 2022 · arXiv:2212.08986*
47. [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*
48. [Non-Parallel Text Style Transfer with Self-Parallel Supervision](https://arxiv.org/abs/2204.08123) *— 2022 · arXiv:2204.08123*
49. [Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models](https://aclanthology.org/2022.emnlp-main.141/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
50. [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*
51. [T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation](https://md.research.elamur.ai/free/en/papers/jangra-2022-t-star-truthful-style-transfer/) *— our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
52. [Text Style Transfer via Optimal Transport](https://aclanthology.org/2022.naacl-main.182/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
53. [arXivEdits: Understanding the Human Revision Process in Scientific Writing](https://aclanthology.org/2022.emnlp-main.641/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
54. [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)*
55. [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)*
56. [BACON: Deep-Learning Powered AI for Poetry Generation with Author Linguistic Style Transfer](https://arxiv.org/abs/2112.11483) *— 2021 · arXiv:2112.11483*
57. [Civil Rephrases Of Toxic Texts With Self-Supervised Transformers](https://aclanthology.org/2021.eacl-main.124/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
58. [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*
59. [Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework](https://aclanthology.org/2021.emnlp-main.569/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
60. [Empirical Evaluation of Supervision Signals for Style Transfer Models](https://arxiv.org/abs/2101.06172) *— 2021 · arXiv:2101.06172*
61. [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)*
62. [Multi-Pair Text Style Transfer for Unbalanced Data via Task-Adaptive Meta-Learning](https://aclanthology.org/2021.metanlp-1.4/) *— 2021 · Proceedings of the 1st Workshop on Meta Learning and Its Applications to Natural Language Processing*
63. [Multi-Pair Text Style Transfer on Unbalanced Data](https://arxiv.org/abs/2106.10608) *— 2021 · arXiv:2106.10608*
64. [Olá, Bonjour, Salve! XFORMAL: A Benchmark for Multilingual Formality Style Transfer](https://aclanthology.org/2021.naacl-main.256/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
65. [Russian Paraphrasers: Paraphrase with Transformers](https://aclanthology.org/2021.bsnlp-1.2/) *— 2021 · Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing*
66. [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*
67. [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)*
68. [WIKIBIAS: Detecting Multi-Span Subjective Biases in Language](https://aclanthology.org/2021.findings-emnlp.155/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
69. [With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms](https://aclanthology.org/2021.eacl-main.139/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
70. [XFORMAL: A Benchmark for Multilingual Formality Style Transfer](https://arxiv.org/abs/2104.04108) *— 2021 · arXiv:2104.04108*
71. [A Probabilistic Formulation of Unsupervised Text Style Transfer](https://arxiv.org/abs/2002.03912) *— 2020 · arXiv:2002.03912*
72. [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*
73. [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*
74. [Facilitating the Communication of Politeness through Fine-Grained Paraphrasing](https://md.research.elamur.ai/free/en/papers/fu-2020-facilitating-communication-politeness-through-fine/) *— our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
75. [Formality Style Transfer with Shared Latent Space](https://aclanthology.org/2020.coling-main.203/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
76. [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*
77. [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*
78. [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*
79. [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*
80. [PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction](https://aclanthology.org/2020.emnlp-main.602/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
81. [Reformulating Unsupervised Style Transfer as Paraphrase Generation](https://md.research.elamur.ai/free/en/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/) *— our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
82. [Reinforced Rewards Framework for Text Style Transfer](https://arxiv.org/abs/2005.05256) *— 2020 · arXiv:2005.05256*
83. [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*
84. [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*
85. [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*
86. [Stylized Text Generation: Approaches and Applications](https://aclanthology.org/2020.acl-tutorials.5/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts*
87. [Text Style Transfer: A Review and Experimental Evaluation](https://arxiv.org/abs/2010.12742) *— 2020 · arXiv:2010.12742 · KDD Explorations 24 (2022) 14-45*
88. [Formality Style Transfer with Hybrid Textual Annotations](https://arxiv.org/abs/1903.06353) *— 2019 · arXiv:1903.06353*
89. [Grammatical Error Correction and Style Transfer via Zero-shot Monolingual Translation](https://arxiv.org/abs/1903.11283) *— 2019 · arXiv:1903.11283*
90. [Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer](https://aclanthology.org/D19-1365/) *— 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)*
91. [Heuristic Authorship Obfuscation](https://aclanthology.org/P19-1104/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
92. [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*
93. [Privacy-Aware Text Rewriting](https://aclanthology.org/W19-8633/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
94. [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)*
95. [D-PAGE: Diverse Paraphrase Generation](https://arxiv.org/abs/1808.04364) *— 2018 · arXiv:1808.04364*
96. [Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer](https://md.research.elamur.ai/free/en/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)*
97. [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*
98. [Polite Dialogue Generation Without Parallel Data](https://aclanthology.org/Q18-1027/) *— 2018*
99. [What is wrong with style transfer for texts?](https://arxiv.org/abs/1808.04365) *— 2018 · arXiv:1808.04365*
100. [Controlling Linguistic Style Aspects in Neural Language Generation](https://aclanthology.org/W17-4912/) *— 2017 · Proceedings of the Workshop on Stylistic Variation*

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/xu-2012-paraphrasing-style/cited-by/page/2/)