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home / docs / papers / cited-by / Who cites «Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer»

Who cites «Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer»

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

Pages: 1 · 2 · 3

  1. Casual as an Anchor: Resolving Supervision Misalignment in Formality Transfer Dataset — 2026 · arXiv:2605.29365
  2. Diff4TST: Masked Diffusion Language Model for Text Style Transfer — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  3. Evaluating Communicative Success in Machine-Translated Conversation — 2026 · arXiv:2609.19885
  4. Evaluating LLM Style Transfer Through Readability-Based Age Assessments — 2026 · Proceedings of the 16th International Workshop on Spoken Dialogue System Technology
  5. Evaluating Text Style Transfer: A Nine-language Benchmark for Text Detoxification — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  6. Text Style Transfer with Parameter-efficient LLM Finetuning and Round-trip Translation — 2026 · arXiv:2602.15013
  7. A Benchmark for Translations Across Styles and Language Variants — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  8. A Decoupled Multi-Agent Framework for Complex Text Style Transfer — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  9. 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)
  10. Cross-lingual Text Classification Transfer: The Case of Ukrainian — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  11. Detoxify-IT: An Italian Parallel Dataset for Text Detoxification — 2025 · Proceedings of the The 9th Workshop on Online Abuse and Harms (WOAH)
  12. Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting — 2025 · arXiv:2503.06781
  13. Dynamic Steering With Episodic Memory For Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  14. Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping — 2025 · arXiv:2505.07888
  15. Learning Text Styles: A Study on Transfer, Attribution, and Verification — 2025 · arXiv:2507.16530
  16. Multilingual and Explainable Text Detoxification with Parallel Corpora — 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 — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  18. Neuron Activation Modulation for Text Style Transfer: Guiding Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  19. ReproHum \#0669-08: Reproducing Sentiment Transfer Evaluation — 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)
  20. Social Perceptions of English Spelling Variation on Twitter: A Comparative Analysis of Human and LLM Responses — 2025 · arXiv:2511.23041
  21. Steering Large Language Models with Register Analysis for Arbitrary Style Transfer — 2025 · arXiv:2505.00679
  22. Style Knowledge Graph: Augmenting Text Style Transfer with Knowledge Graphs — 2025 · Proceedings of the Workshop on Generative AI and Knowledge Graphs (GenAIK)
  23. Style Transfer with Multi-iteration Preference Optimization — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  24. StyleAdaptedLM: Enhancing Instruction Following Models with Efficient Stylistic Transfer — 2025 · arXiv:2507.18294
  25. StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  26. A Survey of Text Style Transfer: Applications and Ethical Implications — 2024 · arXiv:2407.16737
  27. DetoxLLM: A Framework for Detoxification with Explanations — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  28. 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)
  29. Distilling Text Style Transfer With Self-Explanation From LLMs — 2024 · arXiv:2403.01106
  30. Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  31. Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  32. FAME-MT Dataset: Formality Awareness Made Easy for Machine Translation Purposes — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  33. ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  34. IT5: Text-to-text Pretraining for Italian Language Understanding and Generation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  35. LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  36. LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots — 2024 · arXiv:2403.08943
  37. 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)
  38. Modified Iterative Matching and Translation Approach for Formality Style Transfer in a Low-Resource Setting — 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
  39. Multi-property Steering of Large Language Models with Dynamic Activation Composition — 2024 · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP
  40. MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
  41. NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human — 2024 · arXiv:2406.03749
  42. Neural Machine Translation for Malayalam Paraphrase Generation — 2024 · Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages
  43. OZemi at SemEval-2024 Task 1: A Simplistic Approach to Textual Relatedness Evaluation Using Transformers and Machine Translation — 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
  44. PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  45. Reduction-Synthesis: Plug-and-Play for Sentiment Style Transfer — 2024 · Proceedings of the 17th International Natural Language Generation Conference
  46. SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  47. 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
  48. Style-Specific Neurons for Steering LLMs in Text Style Transfer — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  49. 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)
  50. 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)
  51. Text Style Transfer: An Introductory Overview — 2024 · arXiv:2407.14822
  52. Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  53. TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  54. Towards an On-device Agent for Text Rewriting — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  55. Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions — 2024 · arXiv:2402.13647
  56. A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation — 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
  57. A Call for Standardization and Validation of Text Style Transfer Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  58. A Question of Style: A Dataset for Analyzing Formality on Different Levels — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  59. ALDi: Quantifying the Arabic Level of Dialectness of Text — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  60. Active Learning for Natural Language Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  61. Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  62. Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising — 2023 · arXiv:2312.14708
  63. Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  64. 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
  65. Camoscio: An Italian Instruction-tuned LLaMA — 2023 · Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023)
  66. Can Authorship Representation Learning Capture Stylistic Features? — 2023 · Transactions of the Association for Computational Linguistics
  67. ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer — 2023 · arXiv:2306.07799
  68. CoEdIT: Text Editing by Task-Specific Instruction Tuning — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  69. Composable Text Controls in Latent Space with ODEs — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  70. 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)
  71. Detecting Text Formality: A Study of Text Classification Approaches — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
  72. Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  73. 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
  74. Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification — 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)
  75. Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  76. IFAN: An Explainability-Focused Interaction Framework for Humans and NLP Models — 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: System Demonstrations
  77. In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  78. In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering — 2023 · arXiv:2311.06668
  79. Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters — 2023 · arXiv:2310.09219
  80. 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)
  81. Learning Disentangled Meaning and Style Representations for Positive Text Reframing — 2023 · Proceedings of the 16th International Natural Language Generation Conference
  82. Learning Interpretable Style Embeddings via Prompting LLMs — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  83. MVP: Multi-task Supervised Pre-training for Natural Language Generation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  84. Multidimensional Evaluation for Text Style Transfer Using ChatGPT — 2023 · arXiv:2304.13462
  85. Prompt-Based Editing for Text Style Transfer — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  86. RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  87. Reducing Sequence Length by Predicting Edit Spans with Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  88. Reinforced Sequence Training based Subjective Bias Correction — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  89. Representation of Lexical Stylistic Features in Language Models' Embedding Space — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
  90. RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting — 2023 · arXiv:2305.15685 · AAAI 2024
  91. STEER: Unified Style Transfer with Expert Reinforcement — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  92. StyLEx: Explaining Style Using Human Lexical Annotations — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  93. Text Style Transfer with Contrastive Transfer Pattern Mining — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  94. Towards Formality-Aware Neural Machine Translation by Leveraging Context Information — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  95. Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  96. Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End — 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems
  97. Unsupervised Style Transfer in News Headlines via Discrete Style Space — 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics
  98. What Makes Sentences Semantically Related? A Textual Relatedness Dataset and Empirical Study — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  99. ``Kelly is a Warm Person, Joseph is a Role Model'''': Gender Biases in LLM-Generated Reference Letters — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  100. (Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)

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