---
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…"
canonical: "https://research.elamur.ai/free/en/papers/rao-2018-dear-sir-or-madam-may/cited-by/"
---
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# 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](https://md.research.elamur.ai/free/en/papers/rao-2018-dear-sir-or-madam-may/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/rao-2018-dear-sir-or-madam-may/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/rao-2018-dear-sir-or-madam-may/cited-by/page/3/)

1. [Casual as an Anchor: Resolving Supervision Misalignment in Formality Transfer Dataset](https://arxiv.org/abs/2605.29365) *— 2026 · arXiv:2605.29365*
2. [Diff4TST: Masked Diffusion Language Model for Text Style Transfer](https://aclanthology.org/2026.acl-long.306/) *— 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](https://arxiv.org/abs/2609.19885) *— 2026 · arXiv:2609.19885*
4. [Evaluating LLM Style Transfer Through Readability-Based Age Assessments](https://aclanthology.org/2026.iwsds-1.31/) *— 2026 · Proceedings of the 16th International Workshop on Spoken Dialogue System Technology*
5. [Evaluating Text Style Transfer: A Nine-language Benchmark for Text Detoxification](https://aclanthology.org/2026.lrec-1.358/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
6. [Text Style Transfer with Parameter-efficient LLM Finetuning and Round-trip Translation](https://arxiv.org/abs/2602.15013) *— 2026 · arXiv:2602.15013*
7. [Who Gets Which Message? Auditing Demographic Bias in LLM-Generated Targeted Text](https://aclanthology.org/2026.findings-acl.452/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
8. [A Benchmark for Translations Across Styles and Language Variants](https://aclanthology.org/2025.findings-emnlp.129/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
9. [A Decoupled Multi-Agent Framework for Complex Text Style Transfer](https://aclanthology.org/2025.findings-emnlp.1166/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
10. [CURE: Controlled Unlearning for Robust Embeddings –- Mitigating Conceptual Shortcuts in Pre-Trained Language Models](https://aclanthology.org/2025.findings-emnlp.771/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
11. [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*
12. [CoBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via Semantic Triples](https://aclanthology.org/2025.emnlp-main.520/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
13. [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)*
14. [Cross-lingual Text Classification Transfer: The Case of Ukrainian](https://aclanthology.org/2025.coling-main.97/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
15. [Detoxify-IT: An Italian Parallel Dataset for Text Detoxification](https://aclanthology.org/2025.woah-1.24/) *— 2025 · Proceedings of the The 9th Workshop on Online Abuse and Harms (WOAH)*
16. [Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting](https://arxiv.org/abs/2503.06781) *— 2025 · arXiv:2503.06781*
17. [Dynamic Steering With Episodic Memory For Large Language Models](https://aclanthology.org/2025.findings-acl.706/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
18. [Facilitating Cross-lingual Transfer of Empathy through Language-independent Latent Diffusion: A Case Study in Chinese](https://aclanthology.org/2025.findings-emnlp.1313/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
19. [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*
20. [Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping](https://arxiv.org/abs/2505.07888) *— 2025 · arXiv:2505.07888*
21. [LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification](https://aclanthology.org/2025.findings-ijcnlp.59/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
22. [Learning Text Styles: A Study on Transfer, Attribution, and Verification](https://arxiv.org/abs/2507.16530) *— 2025 · arXiv:2507.16530*
23. [Multilingual and Explainable Text Detoxification with Parallel Corpora](https://aclanthology.org/2025.coling-main.535/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
24. [NAP2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human](https://aclanthology.org/2025.findings-emnlp.476/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
25. [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*
26. [ProSwitch: Knowledge-Guided Instruction Tuning to Switch Between Professional and Non-Professional Responses](https://aclanthology.org/2025.ijcnlp-long.51/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
27. [Rationalize and Align: Enhancing Writing Assistance with Rationale via Self-Training for Improved Alignment](https://aclanthology.org/2025.findings-acl.1383/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
28. [ReproHum \#0669-08: Reproducing Sentiment Transfer Evaluation](https://aclanthology.org/2025.gem-1.55/) *— 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)*
29. [Research Borderlands: Analysing Writing Across Research Cultures](https://aclanthology.org/2025.acl-long.1272/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [Social Perceptions of English Spelling Variation on Twitter: A Comparative Analysis of Human and LLM Responses](https://arxiv.org/abs/2511.23041) *— 2025 · arXiv:2511.23041*
31. [Steering Large Language Models with Register Analysis for Arbitrary Style Transfer](https://arxiv.org/abs/2505.00679) *— 2025 · arXiv:2505.00679*
32. [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)*
33. [Style Transfer with Multi-iteration Preference Optimization](https://aclanthology.org/2025.naacl-long.135/) *— 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)*
34. [StyleAdaptedLM: Enhancing Instruction Following Models with Efficient Stylistic Transfer](https://arxiv.org/abs/2507.18294) *— 2025 · arXiv:2507.18294*
35. [StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples](https://aclanthology.org/2025.naacl-long.436/) *— 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)*
36. [Towards Style Alignment in Cross-Cultural Translation](https://aclanthology.org/2025.acl-long.1550/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [A Survey of Text Style Transfer: Applications and Ethical Implications](https://arxiv.org/abs/2407.16737) *— 2024 · arXiv:2407.16737*
38. [Authorship Style Transfer with Policy Optimization](https://arxiv.org/abs/2403.08043) *— 2024 · arXiv:2403.08043*
39. [DetoxLLM: A Framework for Detoxification with Explanations](https://aclanthology.org/2024.emnlp-main.1066/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
40. [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)*
41. [Distilling Text Style Transfer With Self-Explanation From LLMs](https://arxiv.org/abs/2403.01106) *— 2024 · arXiv:2403.01106*
42. [Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation](https://aclanthology.org/2024.emnlp-main.386/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
43. [Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs](https://aclanthology.org/2024.findings-acl.258/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
44. [FAME-MT Dataset: Formality Awareness Made Easy for Machine Translation Purposes](https://aclanthology.org/2024.eamt-1.16/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
45. [ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer](https://aclanthology.org/2024.acl-long.854/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
46. [IT5: Text-to-text Pretraining for Italian Language Understanding and Generation](https://aclanthology.org/2024.lrec-main.823/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
47. [LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback](https://aclanthology.org/2024.acl-long.244/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
48. [LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots](https://arxiv.org/abs/2403.08943) *— 2024 · arXiv:2403.08943*
49. [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)*
50. [Modified Iterative Matching and Translation Approach for Formality Style Transfer in a Low-Resource Setting](https://aclanthology.org/2024.paclic-1.55/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
51. [Multi-property Steering of Large Language Models with Dynamic Activation Composition](https://aclanthology.org/2024.blackboxnlp-1.34/) *— 2024 · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP*
52. [MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages](https://aclanthology.org/2024.naacl-short.12/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
53. [NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human](https://arxiv.org/abs/2406.03749) *— 2024 · arXiv:2406.03749*
54. [Neural Machine Translation for Malayalam Paraphrase Generation](https://aclanthology.org/2024.dravidianlangtech-1.2/) *— 2024 · Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages*
55. [OZemi at SemEval-2024 Task 1: A Simplistic Approach to Textual Relatedness Evaluation Using Transformers and Machine Translation](https://aclanthology.org/2024.semeval-1.2/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
56. [PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models](https://aclanthology.org/2024.naacl-long.336/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
57. [PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer](https://aclanthology.org/2024.findings-emnlp.495/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
58. [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)*
59. [Reduction-Synthesis: Plug-and-Play for Sentiment Style Transfer](https://aclanthology.org/2024.inlg-main.28/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
60. [Reference-guided Style-Consistent Content Transfer](https://aclanthology.org/2024.lrec-main.1201/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
61. [Reusing Transferable Weight Increments for Low-resource Style Generation](https://aclanthology.org/2024.emnlp-main.145/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
62. [SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages](https://aclanthology.org/2024.findings-acl.147/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
63. [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*
64. [Step-by-Step: Controlling Arbitrary Style in Text with Large Language Models](https://aclanthology.org/2024.lrec-main.1328/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
65. [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*
66. [StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer](https://aclanthology.org/2024.lrec-main.1336/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
67. [Text Style Transfer Evaluation Using Large Language Models](https://aclanthology.org/2024.lrec-main.1373/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
68. [Text Style Transfer: An Introductory Overview](https://arxiv.org/abs/2407.14822) *— 2024 · arXiv:2407.14822*
69. [Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs](https://aclanthology.org/2024.acl-long.298/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings](https://aclanthology.org/2024.findings-emnlp.781/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
71. [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*
72. [UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis](https://aclanthology.org/2024.clinicalnlp-1.50/) *— 2024 · Proceedings of the 6th Clinical Natural Language Processing Workshop*
73. [Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions](https://arxiv.org/abs/2402.13647) *— 2024 · arXiv:2402.13647*
74. [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)*
75. [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*
76. [A Question of Style: A Dataset for Analyzing Formality on Different Levels](https://aclanthology.org/2023.findings-eacl.42/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
77. [ALDi: Quantifying the Arabic Level of Dialectness of Text](https://aclanthology.org/2023.emnlp-main.655/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
78. [Active Learning for Natural Language Generation](https://aclanthology.org/2023.emnlp-main.611/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
79. [Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer](https://aclanthology.org/2023.findings-emnlp.50/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
80. [Balancing the Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer](https://aclanthology.org/2023.findings-acl.243/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
81. [Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising](https://arxiv.org/abs/2312.14708) *— 2023 · arXiv:2312.14708*
82. [Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy](https://aclanthology.org/2023.findings-acl.334/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
83. [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*
84. [Camoscio: An Italian Instruction-tuned LLaMA](https://aclanthology.org/2023.clicit-1.46/) *— 2023 · Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023)*
85. [Can Authorship Representation Learning Capture Stylistic Features?](https://aclanthology.org/2023.tacl-1.80/) *— 2023 · Transactions of the Association for Computational Linguistics*
86. [ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer](https://arxiv.org/abs/2306.07799) *— 2023 · arXiv:2306.07799*
87. [CoEdIT: Text Editing by Task-Specific Instruction Tuning](https://aclanthology.org/2023.findings-emnlp.350/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
88. [Composable Text Controls in Latent Space with ODEs](https://aclanthology.org/2023.emnlp-main.1030/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
89. [Conversation Style Transfer using Few-Shot Learning](https://aclanthology.org/2023.ijcnlp-main.9/) *— 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)*
90. [Detecting Text Formality: A Study of Text Classification Approaches](https://aclanthology.org/2023.ranlp-1.31/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
91. [Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark](https://aclanthology.org/2023.emnlp-main.699/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
92. [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*
93. [Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics](https://aclanthology.org/2023.sicon-1.7/) *— 2023 · Proceedings of the First Workshop on Social Influence in Conversations (SICon 2023)*
94. [Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification](https://aclanthology.org/2023.ijcnlp-main.70/) *— 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)*
95. [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*
96. [G-SPEED: General SParse Efficient Editing MoDel](https://aclanthology.org/2023.findings-emnlp.142/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
97. [IFAN: An Explainability-Focused Interaction Framework for Humans and NLP Models](https://aclanthology.org/2023.ijcnlp-demo.7/) *— 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*
98. [In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages](https://aclanthology.org/2023.findings-emnlp.175/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
99. [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*
100. [Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters](https://arxiv.org/abs/2310.09219) *— 2023 · arXiv:2310.09219*

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/rao-2018-dear-sir-or-madam-may/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/rao-2018-dear-sir-or-madam-may/cited-by/page/3/)