Who cites «Reformulating Unsupervised Style Transfer as Paraphrase Generation»

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

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
Interpreting Style Representations via Style-Eliciting Prompts — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in Hebrew — our card · 2026 · Findings of the Association for Computational Linguistics: ACL 2026
Learning Optimal Message Representations for Agentic Communication — 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
When Models Know More Than They Say: Probing Analogical Reasoning in LLMs — 2026 · arXiv:2604.03877
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
Data-centric NLP Backdoor Defense from the Lens of Memorization — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
Evaluating Synthetic Data Generation from User Generated Text — 2025 · Computational Linguistics
Fraunhofer SIT at GenAI Detection Task 1: Adapter Fusion for AI-generated Text Detection — 2025 · Proceedings of the 1stWorkshop on GenAI Content Detection (GenAIDetect)
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
Putnam-AXIOM: A Functional and Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs — 2025 · arXiv:2508.08292 · ICML 2025
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
Stress-testing Machine Generated Text Detection: Shifting Language Models Writing Style to Fool Detectors — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
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)
Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
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)
Whose story is it? Personalizing story generation by inferring author styles — 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
A Tale of Two Revisions: Summarizing Changes Across Document Versions — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Authorship Style Transfer with Policy Optimization — 2024 · arXiv:2403.08043
AutoTemplate: A Simple Recipe for Lexically Constrained Text Generation — 2024 · Proceedings of the 17th International Natural Language Generation Conference
Backdoor NLP Models via AI-Generated Text — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
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)
Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL — 2024 · Proceedings of the 62nd Annual Meeting 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
Noisy Pairing and Partial Supervision for Stylized Opinion Summarization — 2024 · Proceedings of the 17th International Natural Language Generation Conference
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)
Text Attribute Control via Closed-Loop Disentanglement — 2024 · Transactions of the Association for Computational Linguistics
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
You Write like a GPT — 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)
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
Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
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)
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
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)
Disfluency Generation for More Robust Dialogue Systems — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Don''t lose the message while paraphrasing: A study on content preserving style transfer — 2023 · arXiv:2308.09055
Doolittle: Benchmarks and Corpora for Academic Writing Formalization — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
GTA: Gated Toxicity Avoidance for LM Performance Preservation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
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
Proposta e Avaliação Linguistica de Tecnicas de Aumento de Dados — 2023 · Proceedings of the 14th Brazilian Symposium in Information and Human Language Technology
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)
StyleBART: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
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)
Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation — 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