mlsanityData to 7 Oct 2026

Authorship Style Transfer with Policy Optimization

arXiv 2403.08043 ↗First posted 12 Mar 2024cs.CLcited by 11

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Abstract (arXiv)

Authorship style transfer aims to rewrite a given text into a specified target while preserving the original meaning in the source. Existing approaches rely on the availability of a large number of target style exemplars for model training. However, these overlook cases where a limited number of target style examples are available. The development of parameter-efficient transfer learning techniques and policy optimization (PO) approaches suggest lightweight PO is a feasible approach to low-resource style transfer. In this work, we propose a simple two-stage tune-and-optimize technique for low-resource textual style transfer. We apply our technique to authorship transfer as well as a larger-data native language style task and in both cases find it outperforms state-of-the-art baseline models.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 32 of its 43 references that are in the map. First posted on arXiv 12 Mar 2024.

Builds on

32 of 43 references.

References · 32

  1. 2017Proximal Policy Optimization Algorithmscited by 14,441
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  3. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  4. 2023Direct Preference Optimization: Your Language Model is Secretly a Reward Modelcited by 7,916
  5. 2019CTRL: A Conditional Transformer Language Model for Controllable Generationcited by 754
  6. 2018Universal Sentence Encodercited by 485
  7. 2021DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Expertscited by 434
  8. 2024Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translationcited by 390
  9. 2022RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learningcited by 361
  10. 2020The Pushshift Reddit Datasetcited by 289
  11. 2023Preference Ranking Optimization for Human Alignmentcited by 283
  12. 2022Quark: Controllable Text Generation with Reinforced Unlearningcited by 236
20 more
  1. 2018Dear Sir or Madam, May I introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfercited by 209
  2. 2019TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agentscited by 188
  3. 2020Reformulating Unsupervised Style Transfer as Paraphrase Generationcited by 181
  4. 2019Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representationcited by 84
  5. 2019Beyond BLEU: Training Neural Machine Translation with Semantic Similaritycited by 84
  6. 2020Politeness Transfer: A Tag and Generate Approachcited by 78
  7. 2023CoEdIT: Text Editing by Task-Specific Instruction Tuningcited by 67
  8. 2022Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Modelscited by 49
  9. 2020Hooks in the Headline: Learning to Generate Headlines with Controlled Stylescited by 46
  10. 2021Keep it Simple: Unsupervised Simplification of Multi-Paragraph Textcited by 45
  11. 2022Rainier: Reinforced Knowledge Introspector for Commonsense Question Answeringcited by 43
  12. 2021LEWIS: Levenshtein Editing for Unsupervised Text Style Transfercited by 40
  13. 2020TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restylingcited by 39
  14. 2019Reinforcement Learning Based Text Style Transfer without Parallel Training Corpuscited by 38
  15. 2020On Learning Text Style Transfer with Direct Rewardscited by 24
  16. 2021A Deep Metric Learning Approach to Account Linkingcited by 24
  17. 2019Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learningcited by 21
  18. 2022Improving Iterative Text Revision by Learning Where to Edit from Other Revision Taskscited by 20
  19. 2023STEER: Unified Style Transfer with Expert Reinforcementcited by 14
  20. 2022Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?cited by 9

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 4; 2025: 5; 2026: 2.

11 papers.

  1. 2024Aligning Language Models with Demonstrated Feedbackcited by 32
  2. 2024StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examplescited by 32
  3. 2025Leveraging Multilingual Training for Authorship Representation: Enhancing Generalization across Languages and Domainscited by 7
  4. 2024TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methodscited by 5
  5. 2024Style Transfer with Multi-iteration Preference Optimizationcited by 4
  6. 2025SynthDetoxM: Modern LLMs are Few-Shot Parallel Detoxification Data Annotatorscited by 4
  7. 2025Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learningcited by 4
  8. 2025Evaluating Style-Personalized Text Generation: Challenges and Directionscited by 2
  9. 2025Attacks on Machine-Text Detectors Retain Stylistic Fingerprintscited by 0
  10. 2026On the Indistinguishability of Human v/s AI Generated Textcited by 0
  11. 2026HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworkscited by 0