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

Casual as an Anchor: Resolving Supervision Misalignment in Formality Transfer Dataset — 2026 · arXiv:2605.29365
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)
Evaluating Communicative Success in Machine-Translated Conversation — 2026 · arXiv:2609.19885
Evaluating LLM Style Transfer Through Readability-Based Age Assessments — 2026 · Proceedings of the 16th International Workshop on Spoken Dialogue System Technology
Evaluating Text Style Transfer: A Nine-language Benchmark for Text Detoxification — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
Text Style Transfer with Parameter-efficient LLM Finetuning and Round-trip Translation — 2026 · arXiv:2602.15013
Who Gets Which Message? Auditing Demographic Bias in LLM-Generated Targeted Text — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
A Benchmark for Translations Across Styles and Language Variants — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
A Decoupled Multi-Agent Framework for Complex Text Style Transfer — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
CURE: Controlled Unlearning for Robust Embeddings –- Mitigating Conceptual Shortcuts in Pre-Trained Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
Challenging Assumptions in Learning Generic Text Style Embeddings — 2025 · The Sixth Workshop on Insights from Negative Results in NLP
CoBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via Semantic Triples — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
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)
Cross-lingual Text Classification Transfer: The Case of Ukrainian — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
Detoxify-IT: An Italian Parallel Dataset for Text Detoxification — 2025 · Proceedings of the The 9th Workshop on Online Abuse and Harms (WOAH)
Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting — 2025 · arXiv:2503.06781
Dynamic Steering With Episodic Memory For Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Facilitating Cross-lingual Transfer of Empathy through Language-independent Latent Diffusion: A Case Study in Chinese — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
How Stylistic Similarity Shapes Preferences in Dialogue Dataset with User and Third Party Evaluations — 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping — 2025 · arXiv:2505.07888
LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification — 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
Learning Text Styles: A Study on Transfer, Attribution, and Verification — 2025 · arXiv:2507.16530
Multilingual and Explainable Text Detoxification with Parallel Corpora — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
NAP2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
Neuron Activation Modulation for Text Style Transfer: Guiding Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
ProSwitch: Knowledge-Guided Instruction Tuning to Switch Between Professional and Non-Professional Responses — 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
Rationalize and Align: Enhancing Writing Assistance with Rationale via Self-Training for Improved Alignment — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
ReproHum \#0669-08: Reproducing Sentiment Transfer Evaluation — 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)
Research Borderlands: Analysing Writing Across Research Cultures — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Social Perceptions of English Spelling Variation on Twitter: A Comparative Analysis of Human and LLM Responses — 2025 · arXiv:2511.23041
Steering Large Language Models with Register Analysis for Arbitrary Style Transfer — 2025 · arXiv:2505.00679
Style Knowledge Graph: Augmenting Text Style Transfer with Knowledge Graphs — 2025 · Proceedings of the Workshop on Generative AI and Knowledge Graphs (GenAIK)
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)
StyleAdaptedLM: Enhancing Instruction Following Models with Efficient Stylistic Transfer — 2025 · arXiv:2507.18294
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)
Towards Style Alignment in Cross-Cultural Translation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
A Survey of Text Style Transfer: Applications and Ethical Implications — 2024 · arXiv:2407.16737
Authorship Style Transfer with Policy Optimization — 2024 · arXiv:2403.08043
DetoxLLM: A Framework for Detoxification with Explanations — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
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)
Distilling Text Style Transfer With Self-Explanation From LLMs — 2024 · arXiv:2403.01106
Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
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)
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)
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)
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)
LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots — 2024 · arXiv:2403.08943
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)
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
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
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)
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human — 2024 · arXiv:2406.03749
Neural Machine Translation for Malayalam Paraphrase Generation — 2024 · Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages
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)
PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Proofread: Fixes All Errors with One Tap — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
Reduction-Synthesis: Plug-and-Play for Sentiment Style Transfer — 2024 · Proceedings of the 17th International Natural Language Generation Conference
Reference-guided Style-Consistent Content Transfer — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Reusing Transferable Weight Increments for Low-resource Style Generation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
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
Step-by-Step: Controlling Arbitrary Style in Text with Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Style-Specific Neurons for Steering LLMs in Text Style Transfer — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
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)
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)
Text Style Transfer: An Introductory Overview — 2024 · arXiv:2407.14822
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)
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Towards an On-device Agent for Text Rewriting — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis — 2024 · Proceedings of the 6th Clinical Natural Language Processing Workshop
Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions — 2024 · arXiv:2402.13647
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation — 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
A Call for Standardization and Validation of Text Style Transfer Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
A Question of Style: A Dataset for Analyzing Formality on Different Levels — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
ALDi: Quantifying the Arabic Level of Dialectness of Text — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Active Learning for Natural Language Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Balancing the Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising — 2023 · arXiv:2312.14708
Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
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
Camoscio: An Italian Instruction-tuned LLaMA — 2023 · Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023)
Can Authorship Representation Learning Capture Stylistic Features? — 2023 · Transactions of the Association for Computational Linguistics
ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer — 2023 · arXiv:2306.07799
CoEdIT: Text Editing by Task-Specific Instruction Tuning — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Composable Text Controls in Latent Space with ODEs — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
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)
Detecting Text Formality: A Study of Text Classification Approaches — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
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
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
Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics — 2023 · Proceedings of the First Workshop on Social Influence in Conversations (SICon 2023)
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)
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
G-SPEED: General SParse Efficient Editing MoDel — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
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
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
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering — 2023 · arXiv:2311.06668
Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters — 2023 · arXiv:2310.09219