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Who cites «Paraphrasing for Style»

111 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Pages: 1 · 2

  1. AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing — our card · 2026 · arXiv:2603.23069
  2. Text Style Transfer with Parameter-efficient LLM Finetuning and Round-trip Translation — 2026 · arXiv:2602.15013
  3. A Systematic Survey of Automatic Prompt Optimization Techniques — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  4. 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)
  5. LLM-Friendly Knowledge Representation for Customer Support — 2025 · Proceedings of the 31st International Conference on Computational Linguistics: Industry Track
  6. Learning Text Styles: A Study on Transfer, Attribution, and Verification — 2025 · arXiv:2507.16530
  7. Neuron Activation Modulation for Text Style Transfer: Guiding Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  8. Steering Large Language Models with Register Analysis for Arbitrary Style Transfer — 2025 · arXiv:2505.00679
  9. Style Knowledge Graph: Augmenting Text Style Transfer with Knowledge Graphs — 2025 · Proceedings of the Workshop on Generative AI and Knowledge Graphs (GenAIK)
  10. SynDec: A Synthesize-then-Decode Approach for Arbitrary Textual Style Transfer via Large Language Models — 2025 · arXiv:2505.12821
  11. Customized Style Transfer using Discrete Sampling — 2024 · Proceedings of the 1st Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U)
  12. 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)
  13. Distilling Text Style Transfer With Self-Explanation From LLMs — 2024 · arXiv:2403.01106
  14. LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots — 2024 · arXiv:2403.08943
  15. MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  16. Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  17. 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
  18. Style-Specific Neurons for Steering LLMs in Text Style Transfer — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  19. Text Style Transfer: An Introductory Overview — 2024 · arXiv:2407.14822
  20. Towards an On-device Agent for Text Rewriting — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  21. A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation — 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
  22. A Call for Standardization and Validation of Text Style Transfer Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  23. A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  24. 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
  25. Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  26. 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
  27. Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  28. In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering — 2023 · arXiv:2311.06668
  29. LENS: A Learnable Evaluation Metric for Text Simplification — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  30. Prompt-Based Editing for Text Style Transfer — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  31. Responsibility Perspective Transfer for Italian Femicide News — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  32. RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting — 2023 · arXiv:2305.15685 · AAAI 2024
  33. What Makes a Good Paraphrase: Do Automated Evaluations Work? — 2023 · arXiv:2307.14818
  34. BERT in Plutarch's Shadows — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  35. Deep Learning for Text Style Transfer: A Survey — 2022 · Computational Linguistics
  36. 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)
  37. Inducing Positive Perspectives with Text Reframing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  38. Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated? — our card · 2022 · arXiv:2212.08986
  39. 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
  40. Non-Parallel Text Style Transfer with Self-Parallel Supervision — 2022 · arXiv:2204.08123
  41. Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  42. RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  43. T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation — our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  44. Text Style Transfer via Optimal Transport — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  45. arXivEdits: Understanding the Human Revision Process in Scientific Writing — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  46. A Hierarchical VAE for Calibrating Attributes while Generating Text using Normalizing Flow — 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)
  47. A Review of Text Style Transfer using Deep Learning — 2021 · arXiv:2109.15144 · IEEE Transactions on Artificial Intelligence (TAI), (2021)
  48. BACON: Deep-Learning Powered AI for Poetry Generation with Author Linguistic Style Transfer — 2021 · arXiv:2112.11483
  49. Civil Rephrases Of Toxic Texts With Self-Supervised Transformers — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  50. Contextualizing Variation in Text Style Transfer Datasets — 2021 · Proceedings of the 14th International Conference on Natural Language Generation
  51. Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  52. Empirical Evaluation of Supervision Signals for Style Transfer Models — 2021 · arXiv:2101.06172
  53. Improving Formality Style Transfer with Context-Aware Rule Injection — 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)
  54. Multi-Pair Text Style Transfer for Unbalanced Data via Task-Adaptive Meta-Learning — 2021 · Proceedings of the 1st Workshop on Meta Learning and Its Applications to Natural Language Processing
  55. Multi-Pair Text Style Transfer on Unbalanced Data — 2021 · arXiv:2106.10608
  56. Olá, Bonjour, Salve! XFORMAL: A Benchmark for Multilingual Formality Style Transfer — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  57. Russian Paraphrasers: Paraphrase with Transformers — 2021 · Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing
  58. StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  59. Unsupervised Text Style Transfer with Content Embeddings — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
  60. WIKIBIAS: Detecting Multi-Span Subjective Biases in Language — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  61. XFORMAL: A Benchmark for Multilingual Formality Style Transfer — 2021 · arXiv:2104.04108
  62. A Probabilistic Formulation of Unsupervised Text Style Transfer — 2020 · arXiv:2002.03912
  63. An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track
  64. Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  65. Facilitating the Communication of Politeness through Fine-Grained Paraphrasing — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  66. Formality Style Transfer with Shared Latent Space — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  67. Learning to Generate Multiple Style Transfer Outputs for an Input Sentence — 2020 · Proceedings of the Fourth Workshop on Neural Generation and Translation
  68. Lost in Back-Translation: Emotion Preservation in Neural Machine Translation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  69. Parallel Data Augmentation for Formality Style Transfer — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  70. Politeness Transfer: A Tag and Generate Approach — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  71. PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  72. Reformulating Unsupervised Style Transfer as Paraphrase Generation — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  73. Reinforced Rewards Framework for Text Style Transfer — 2020 · arXiv:2005.05256
  74. Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation — 2020 · arXiv:2011.03286
  75. Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  76. Story-level Text Style Transfer: A Proposal — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
  77. Stylized Text Generation: Approaches and Applications — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
  78. Text Style Transfer: A Review and Experimental Evaluation — 2020 · arXiv:2010.12742 · KDD Explorations 24 (2022) 14-45
  79. Formality Style Transfer with Hybrid Textual Annotations — 2019 · arXiv:1903.06353
  80. Grammatical Error Correction and Style Transfer via Zero-shot Monolingual Translation — 2019 · arXiv:1903.11283
  81. Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer — 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)
  82. Heuristic Authorship Obfuscation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  83. Negative Lexically Constrained Decoding for Paraphrase Generation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  84. Privacy-Aware Text Rewriting — 2019 · Proceedings of the 12th International Conference on Natural Language Generation
  85. Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites — 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)
  86. D-PAGE: Diverse Paraphrase Generation — 2018 · arXiv:1808.04364
  87. Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer — 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)
  88. Multi-Task Neural Models for Translating Between Styles Within and Across Languages — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  89. Polite Dialogue Generation Without Parallel Data — 2018
  90. What is wrong with style transfer for texts? — 2018 · arXiv:1808.04365
  91. Controlling Linguistic Style Aspects in Neural Language Generation — 2017 · Proceedings of the Workshop on Stylistic Variation
  92. Evaluating prose style transfer with the Bible — our card · 2017 · arXiv:1711.04731 · Royal Society open science 5.10 (2018): 171920
  93. From Shakespeare to Twitter: What are Language Styles all about? — our card · 2017 · Proceedings of the Workshop on Stylistic Variation
  94. Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models — our card · 2017 · Proceedings of the Workshop on Stylistic Variation
  95. Optimizing Statistical Machine Translation for Text Simplification — our card · 2016 · Transactions of the Association for Computational Linguistics
  96. Stylistic Transfer in Natural Language Generation Systems Using Recurrent Neural Networks — 2016 · Proceedings of the Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods
  97. AMRITA_CEN@SemEval-2015: Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders — 2015 · Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
  98. Domain-Specific Paraphrase Extraction — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
  99. Inducing Lexical Style Properties for Paraphrase and Genre Differentiation — 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  100. PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification — our card · 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

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