---
title: "Who cites Dear Sir or Madam, May I Introduce the GYAFC…"
description: "The papers of the Elamur Research library that cite «Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality…"
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# Who cites «Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer» · page 2

260 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/rao-2018-dear-sir-or-madam-may/)

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1. [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)*
2. [Learning Disentangled Meaning and Style Representations for Positive Text Reframing](https://aclanthology.org/2023.inlg-main.31/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
3. [Learning Interpretable Style Embeddings via Prompting LLMs](https://aclanthology.org/2023.findings-emnlp.1020/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
4. [MVP: Multi-task Supervised Pre-training for Natural Language Generation](https://aclanthology.org/2023.findings-acl.558/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
5. [Multidimensional Evaluation for Text Style Transfer Using ChatGPT](https://arxiv.org/abs/2304.13462) *— 2023 · arXiv:2304.13462*
6. [Prompt-Based Editing for Text Style Transfer](https://aclanthology.org/2023.findings-emnlp.381/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
7. [RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation](https://aclanthology.org/2023.acl-short.126/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
8. [Reducing Sequence Length by Predicting Edit Spans with Large Language Models](https://aclanthology.org/2023.emnlp-main.619/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
9. [Reinforced Sequence Training based Subjective Bias Correction](https://aclanthology.org/2023.eacl-main.189/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
10. [Representation of Lexical Stylistic Features in Language Models' Embedding Space](https://aclanthology.org/2023.starsem-1.32/) *— 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)*
11. [RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting](https://arxiv.org/abs/2305.15685) *— 2023 · arXiv:2305.15685 · AAAI 2024*
12. [STEER: Unified Style Transfer with Expert Reinforcement](https://aclanthology.org/2023.findings-emnlp.506/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
13. [StyLEx: Explaining Style Using Human Lexical Annotations](https://aclanthology.org/2023.eacl-main.208/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
14. [Style Locality for Controllable Generation with kNN Language Models](https://aclanthology.org/2023.tllm-1.7/) *— 2023 · Proceedings of the 1st Workshop on Taming Large Language Models: Controllability in the era of Interactive Assistants*
15. [Style-sensitive Sentence Embeddings for Evaluating Similarity in Speech Style of Japanese Sentences by Contrastive Learning](https://aclanthology.org/2023.ijcnlp-srw.5/) *— 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: Student Research Workshop*
16. [Text Fact Transfer](https://aclanthology.org/2023.emnlp-main.288/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
17. [Text Style Transfer with Contrastive Transfer Pattern Mining](https://aclanthology.org/2023.acl-long.439/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [Towards Formality-Aware Neural Machine Translation by Leveraging Context Information](https://aclanthology.org/2023.findings-emnlp.494/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
19. [Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts](https://aclanthology.org/2023.acl-long.763/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End](https://aclanthology.org/2023.eval4nlp-1.6/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems*
21. [Unsupervised Style Transfer in News Headlines via Discrete Style Space](https://aclanthology.org/2023.ccl-1.55/) *— 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics*
22. [What Makes Sentences Semantically Related? A Textual Relatedness Dataset and Empirical Study](https://aclanthology.org/2023.eacl-main.55/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
23. [“Kelly is a Warm Person, Joseph is a Role Model”: Gender Biases in LLM-Generated Reference Letters](https://aclanthology.org/2023.findings-emnlp.243/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
24. [(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification](https://aclanthology.org/2022.tsar-1.12/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
25. [A Recipe for Arbitrary Text Style Transfer with Large Language Models](https://aclanthology.org/2022.acl-short.94/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
26. [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*
27. [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*
28. [BeamR: Beam Reweighing with Attribute Discriminators for Controllable Text Generation](https://aclanthology.org/2022.findings-aacl.40/) *— 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022*
29. [CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality](https://aclanthology.org/2022.findings-naacl.47/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
30. [CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation](https://aclanthology.org/2022.emnlp-main.158/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
31. [Construction and Validation of a Japanese Honorific Corpus Based on Systemic Functional Linguistics](https://aclanthology.org/2022.dclrl-1.3/) *— 2022 · Proceedings of the Workshop on Dataset Creation for Lower-Resourced Languages within the 13th Language Resources and Evaluation Conference*
32. [Deep Learning for Text Style Transfer: A Survey](https://aclanthology.org/2022.cl-1.6/) *— 2022 · Computational Linguistics*
33. [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*
34. [Exploring Cross-lingual Text Detoxification with Large Multilingual Language Models.](https://aclanthology.org/2022.acl-srw.26/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
35. [Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models](https://arxiv.org/abs/2206.02252) *— 2022 · arXiv:2206.02252*
36. [He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues](https://aclanthology.org/2022.findings-emnlp.355/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
37. [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)*
38. [Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks](https://aclanthology.org/2022.emnlp-main.678/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
39. [Improving Machine Translation Formality Control with Weakly-Labelled Data Augmentation and Post Editing Strategies](https://aclanthology.org/2022.iwslt-1.32/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
40. [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)*
41. [Learning from Bootstrapping and Stepwise Reinforcement Reward: A Semi-Supervised Framework for Text Style Transfer](https://aclanthology.org/2022.findings-naacl.201/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
42. [Mask and Regenerate: A Classifier-based Approach for Unpaired Sentiment Transformation of Reviews for Electronic Commerce Websites.](https://aclanthology.org/2022.socialnlp-1.1/) *— 2022 · Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media*
43. [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*
44. [Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models](https://aclanthology.org/2022.acl-long.31/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
45. [Multi-Figurative Language Generation](https://aclanthology.org/2022.coling-1.519/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
46. [Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer](https://aclanthology.org/2022.acl-short.29/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
47. [Non-Parallel Text Style Transfer with Self-Parallel Supervision](https://arxiv.org/abs/2204.08123) *— 2022 · arXiv:2204.08123*
48. [ParaDetox: Detoxification with Parallel Data](https://aclanthology.org/2022.acl-long.469/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
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. [Replacing Language Model for Style Transfer](https://arxiv.org/abs/2211.07343) *— 2022 · arXiv:2211.07343*
51. [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*
52. [Same Author or Just Same Topic? Towards Content-Independent Style Representations](https://aclanthology.org/2022.repl4nlp-1.26/) *— 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP*
53. [Semi-Supervised Formality Style Transfer with Consistency Training](https://aclanthology.org/2022.acl-long.321/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
54. [SimpleStyle: An Adaptable Style Transfer Approach](https://arxiv.org/abs/2212.10498) *— 2022 · arXiv:2212.10498*
55. [So Different Yet So Alike! Constrained Unsupervised Text Style Transfer](https://aclanthology.org/2022.acl-long.32/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [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*
57. [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*
58. [Tagging Without Rewriting: A Probabilistic Model for Unpaired Sentiment and Style Transfer](https://aclanthology.org/2022.wassa-1.33/) *— 2022 · Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis*
59. [Text Revision by On-the-Fly Representation Optimization](https://aclanthology.org/2022.in2writing-1.7/) *— 2022 · Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)*
60. [Text Style Transfer for Bias Mitigation using Masked Language Modeling](https://aclanthology.org/2022.naacl-srw.21/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop*
61. [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*
62. [TextBox 2.0: A Text Generation Library with Pre-trained Language Models](https://aclanthology.org/2022.emnlp-demos.42/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
63. [Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation](https://aclanthology.org/2022.gem-1.20/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
64. [TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages](https://aclanthology.org/2022.findings-emnlp.420/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
65. [“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*
66. [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)*
67. [A Recipe For Arbitrary Text Style Transfer with Large Language Models](https://arxiv.org/abs/2109.03910) *— 2021 · arXiv:2109.03910*
68. [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)*
69. [An Evaluation of Disentangled Representation Learning for Texts](https://aclanthology.org/2021.findings-acl.170/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
70. [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*
71. [Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style Transfer](https://aclanthology.org/2021.emnlp-main.729/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
72. [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*
73. [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*
74. [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*
75. [Edit Distance Based Curriculum Learning for Paraphrase Generation](https://aclanthology.org/2021.acl-srw.24/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop*
76. [Empirical Evaluation of Supervision Signals for Style Transfer Models](https://arxiv.org/abs/2101.06172) *— 2021 · arXiv:2101.06172*
77. [Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer](https://md.research.elamur.ai/free/en/papers/briakou-2021-evaluating-evaluation-metrics-style-transfer/) *— our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
78. [Exploring Non-Autoregressive Text Style Transfer](https://aclanthology.org/2021.emnlp-main.730/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
79. [FUDGE: Controlled Text Generation With Future Discriminators](https://aclanthology.org/2021.naacl-main.276/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
80. [Generic resources are what you need: Style transfer tasks without task-specific parallel training data](https://aclanthology.org/2021.emnlp-main.349/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
81. [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)*
82. [Methods for Detoxification of Texts for the Russian Language](https://arxiv.org/abs/2105.09052) *— 2021 · arXiv:2105.09052*
83. [Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer](https://aclanthology.org/2021.emnlp-main.374/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
84. [Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus](https://aclanthology.org/2021.naacl-main.275/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
85. [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*
86. [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*
87. [On Learning Text Style Transfer with Direct Rewards](https://aclanthology.org/2021.naacl-main.337/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
88. [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)*
89. [SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer](https://arxiv.org/abs/2104.12977) *— 2021 · arXiv:2104.12977*
90. [Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer](https://arxiv.org/abs/2110.02950) *— 2021 · arXiv:2110.02950*
91. [Style is NOT a single variable: Case Studies for Cross-Stylistic Language Understanding](https://aclanthology.org/2021.acl-long.185/) *— 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)*
92. [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*
93. [Syntax Matters! Syntax-Controlled in Text Style Transfer](https://aclanthology.org/2021.ranlp-1.64/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
94. [TREMoLo : un corpus multi-étiquettes de tweets en français pour la caractérisation des registres de langue (TREMoLo : a Multi-Label Corpus of French Tweets for Language Register Characterization)](https://aclanthology.org/2021.jeptalnrecital-taln.23/) *— 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale*
95. [TREMoLo-Tweets: A Multi-Label Corpus of French Tweets for Language Register Characterization](https://aclanthology.org/2021.ranlp-1.108/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
96. [Text Detoxification using Large Pre-trained Neural Models](https://aclanthology.org/2021.emnlp-main.629/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
97. [Text Style Transfer: Leveraging a Style Classifier on Entangled Latent Representations](https://aclanthology.org/2021.repl4nlp-1.9/) *— 2021 · Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)*
98. [Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer](https://aclanthology.org/2021.acl-short.62/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
99. [The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics](https://aclanthology.org/2021.gem-1.10/) *— 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
100. [The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation](https://aclanthology.org/2021.emnlp-main.97/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*

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