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Who cites «Style Transfer from Non-Parallel Text by Cross-Alignment»

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

Pages: 1 · 2 · 3 · 4

  1. Harnessing the Latent Space: From Steering Vectors to Model Calibrators for Control and Trust — 2026 · Proceedings of The Big Picture v2: Crafting a Research Narrative
  2. Language Modeling and Understanding Through Paraphrase Generation and Detection — 2026 · arXiv:2602.08274
  3. 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)
  4. Text Style Transfer with Parameter-efficient LLM Finetuning and Round-trip Translation — 2026 · arXiv:2602.15013
  5. A Decoupled Multi-Agent Framework for Complex Text Style Transfer — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  6. Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications — 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. Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping — 2025 · arXiv:2505.07888
  11. Learning Text Styles: A Study on Transfer, Attribution, and Verification — 2025 · arXiv:2507.16530
  12. Neuron Activation Modulation for Text Style Transfer: Guiding Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  13. On the Impact of Noise in Differentially Private Text Rewriting — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  14. SANSKRITI: A Comprehensive Benchmark for Evaluating Language Models'' Knowledge of Indian Culture — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  15. Style Knowledge Graph: Augmenting Text Style Transfer with Knowledge Graphs — 2025 · Proceedings of the Workshop on Generative AI and Knowledge Graphs (GenAIK)
  16. A Survey of Text Style Transfer: Applications and Ethical Implications — 2024 · arXiv:2407.16737
  17. Action Controlled Paraphrasing — 2024 · arXiv:2405.11277
  18. An Empirical Analysis of the Writing Styles of Persona-Assigned LLMs — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  19. An LLM-Enhanced Adversarial Editing System for Lexical Simplification — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  20. Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  21. Bias in Large Language Models: Origin, Evaluation, and Mitigation — 2024 · arXiv:2411.10915
  22. 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)
  23. CycleGN: A Cycle Consistent Approach for Neural Machine Translation — 2024 · Proceedings of the Ninth Conference on Machine Translation
  24. DetoxLLM: A Framework for Detoxification with Explanations — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  25. Distilling Text Style Transfer With Self-Explanation From LLMs — 2024 · arXiv:2403.01106
  26. 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)
  27. Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  28. LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots — 2024 · arXiv:2403.08943
  29. Learning from Response not Preference: A Stackelberg Approach for LLM Detoxification using Non-parallel Data — 2024 · arXiv:2410.20298
  30. Multi-Objective Linguistic Control of Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  31. Multilingual Text Style Transfer: Datasets & Models for Indian Languages — 2024 · arXiv:2405.20805
  32. PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  33. Reduction-Synthesis: Plug-and-Play for Sentiment Style Transfer — 2024 · Proceedings of the 17th International Natural Language Generation Conference
  34. 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
  35. Style Vectors for Steering Generative Large Language Models — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
  36. Style-Specific Neurons for Steering LLMs in Text Style Transfer — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  37. 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)
  38. 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)
  39. Text Style Transfer: An Introductory Overview — 2024 · arXiv:2407.14822
  40. Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions — 2024 · arXiv:2402.13647
  41. A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation — 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
  42. A Call for Standardization and Validation of Text Style Transfer Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  43. Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  44. Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising — 2023 · arXiv:2312.14708
  45. Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  46. COUNT: COntrastive UNlikelihood Text Style Transfer for Text Detoxification — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  47. Composable Text Controls in Latent Space with ODEs — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  48. Conversation Style Transfer using Few-Shot Learning — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  49. DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  50. 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)
  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. FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation — 2023 · Transactions of the Association for Computational Linguistics
  53. Fluency Matters! Controllable Style Transfer with Syntax Guidance — 2023 · Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
  54. Generating Summaries with Controllable Readability Levels — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  55. IC3: Image Captioning by Committee Consensus — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  56. In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering — 2023 · arXiv:2311.06668
  57. Learning Disentangled Meaning and Style Representations for Positive Text Reframing — 2023 · Proceedings of the 16th International Natural Language Generation Conference
  58. Learning Interpretable Style Embeddings via Prompting LLMs — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  59. Leveraging Low-resource Parallel Data for Text Style Transfer — 2023 · Proceedings of the 16th International Natural Language Generation Conference
  60. MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer — 2023 · arXiv:2306.07994
  61. Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts — 2023 · arXiv:2302.09155
  62. Multidimensional Evaluation for Text Style Transfer Using ChatGPT — 2023 · arXiv:2304.13462
  63. On Text Style Transfer via Style-Aware Masked Language Models — 2023 · Proceedings of the 16th International Natural Language Generation Conference
  64. Paraphrase Types for Generation and Detection — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  65. Prefix-Tuning Based Unsupervised Text Style Transfer — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  66. Prompt-Based Editing for Text Style Transfer — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  67. Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  68. STEER: Unified Style Transfer with Expert Reinforcement — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  69. Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training — 2023 · arXiv:2309.10929
  70. StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  71. Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  72. Tailor: A Soft-Prompt-Based Approach to Attribute-Based Controlled Text Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  73. Text Detoxification as Style Transfer in English and Hindi — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
  74. The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  75. Translating away Translationese without Parallel Data — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  76. Unsupervised Style Transfer in News Headlines via Discrete Style Space — 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics
  77. Unsupervised Text Style Transfer with Deep Generative Models — 2023 · arXiv:2308.16584
  78. ViPE: Visualise Pretty-much Everything — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  79. 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)
  80. 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
  81. Audience-Centric Natural Language Generation via Style Infusion — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  82. AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  83. CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  84. Challenges and Strategies in Cross-Cultural NLP — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  85. Computational Sarcasm Analysis on Social Media: A Systematic Review — 2022 · arXiv:2209.06170
  86. 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)
  87. Deep Learning for Text Style Transfer: A Survey — 2022 · Computational Linguistics
  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. Every picture tells a story: Image-grounded controllable stylistic story generation — 2022 · Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
  90. Exploiting Social Media Content for Self-Supervised Style Transfer — 2022 · Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media
  91. Exploring Cross-lingual Text Detoxification with Large Multilingual Language Models. — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
  92. Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models — 2022 · arXiv:2206.02252
  93. Extracting Latent Steering Vectors from Pretrained Language Models — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  94. Gradient-guided Unsupervised Text Style Transfer via Contrastive Learning — 2022 · arXiv:2202.00469
  95. 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)
  96. HydraSum: Disentangling Style Features in Text Summarization with Multi-Decoder Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  97. Improving Text Simplification with Factuality Error Detection — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
  98. Inducing Positive Perspectives with Text Reframing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  99. 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
  100. Learning to Model Editing Processes — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022

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