Who cites «Reformulating Unsupervised Style Transfer as Paraphrase Generation»
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- Benchmarking Arabic Authorship Attribution and Style Transfer with Large Language Models — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworks — 2026 · arXiv:2609.02772
- JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in Hebrew — our card · 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- Text Style Transfer with Parameter-efficient LLM Finetuning and Round-trip Translation — 2026 · arXiv:2602.15013
- A Decoupled Multi-Agent Framework for Complex Text Style Transfer — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Analysing Zero-Shot Readability-Controlled Sentence Simplification — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Evaluating Synthetic Data Generation from User Generated Text — 2025 · Computational Linguistics
- LCFO: Long Context and Long Form Output Dataset and Benchmarking — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs? — 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)
- MahaParaphrase: A Marathi Paraphrase Detection Corpus and BERT-based Models — 2025 · Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation
- Masks and Mimicry: Strategic Obfuscation and Impersonation Attacks on Authorship Verification — 2025 · Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities
- Mitigating Paraphrase Attacks on Machine-Text Detection via Paraphrase Inversion — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- PARAPHRASUS: A Comprehensive Benchmark for Evaluating Paraphrase Detection Models — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- Socratic Reasoning Improves Positive Text Rewriting — 2025 · Proceedings of the 10th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2025)
- Steering Large Language Models with Register Analysis for Arbitrary Style Transfer — 2025 · arXiv:2505.00679
- 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)
- SynthDetoxM: Modern LLMs are Few-Shot Parallel Detoxification Data Annotators — 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)
- Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- AutoTemplate: A Simple Recipe for Lexically Constrained Text Generation — 2024 · Proceedings of the 17th International Natural Language Generation Conference
- ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Detection and Measurement of Syntactic Templates in Generated Text — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Distilling Text Style Transfer With Self-Explanation From LLMs — 2024 · arXiv:2403.01106
- Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution Distortion — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- 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)
- JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small 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)
- Mitigating Paraphrase Attacks on Machine-Text Detectors via Paraphrase Inversion — 2024 · arXiv:2410.21637
- 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
- SC2: Towards Enhancing Content Preservation and Style Consistency in Long Text Style Transfer — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering — 2024 · arXiv:2411.11504
- 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
- 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)
- StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements — our card · 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Task-Oriented Paraphrase Analytics — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- Transfer-Learning based on Extract, Paraphrase and Compress Models for Neural Abstractive Multi-Document Summarization — 2024 · Proceedings of the 17th International Natural Language Generation Conference
- What''s Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- 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
- Attention-Enhancing Backdoor Attacks Against BERT-based Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Attractive Storyteller: Stylized Visual Storytelling with Unpaired Text — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- BITE: Textual Backdoor Attacks with Iterative Trigger Injection — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- 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
- COUNT: COntrastive UNlikelihood Text Style Transfer for Text Detoxification — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Can Authorship Representation Learning Capture Stylistic Features? — 2023 · Transactions of the Association for Computational Linguistics
- ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models — 2023 · arXiv:2306.11698
- 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)
- Don''t lose the message while paraphrasing: A study on content preserving style transfer — 2023 · arXiv:2308.09055
- Guiding Zero-Shot Paraphrase Generation with Fine-Grained Control Tokens — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
- 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)
- Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Multi-VALUE: A Framework for Cross-Dialectal English NLP — our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation — 2023 · Northern European Journal of Language Technology
- ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer — 2023 · arXiv:2308.15459
- Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense — 2023 · arXiv:2303.13408
- Prompt-Based Editing for Text Style Transfer — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- STEER: Unified Style Transfer with Expert Reinforcement — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- 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)
- Text Style Transfer Back-Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Translating Legalese: Enhancing Public Understanding of Court Opinions with Legal Summarizers — 2023 · arXiv:2311.06534
- Uniform Complexity for Text Generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- 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)
- A Study on Manual and Automatic Evaluation for Text Style Transfer: The Case of Detoxification — 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)
- 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
- AugCSE: Contrastive Sentence Embedding with Diverse Augmentations — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
- CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Deep Learning for Text Style Transfer: A Survey — 2022 · Computational Linguistics
- Exploiting Social Media Content for Self-Supervised Style Transfer — 2022 · Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media
- 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
- Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models — 2022 · arXiv:2206.02252
- Exploring diversity in back translation for low-resource machine translation — 2022 · Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing
- Generative Pretraining for Paraphrase Evaluation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- 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)
- Human-Machine Collaboration Approaches to Build a Dialogue Dataset for Hate Speech Countering — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- HydraSum: Disentangling Style Features in Text Summarization with Multi-Decoder Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Improving Factual Consistency in Summarization with Compression-Based Post-Editing — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Low Resource Style Transfer via Domain Adaptive Meta Learning — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated? — our card · 2022 · arXiv:2212.08986
- MOVER: Mask, Over-generate and Rank for Hyperbole Generation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Machine-in-the-Loop Rewriting for Creative Image Captioning — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Non-Parallel Text Style Transfer with Self-Parallel Supervision — 2022 · arXiv:2204.08123
- On The Ingredients of an Effective Zero-shot Semantic Parser — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Paraphrasing Techniques for Maritime QA system — 2022 · arXiv:2203.10854
- Paraphrastic Representations at Scale — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning — 2022 · arXiv:2212.07919
- Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
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