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# Who cites «Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?»

21 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/patel-2022-low-resource-authorship-style-transfer/)

1. [AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing](https://md.mova.elamur.ai/free/en/docs/papers/thillainathan-2026-authormix-modular-authorship-style-transfer/) *— our card · 2026 · arXiv:2603.23069*
2. [Benchmarking Arabic Authorship Attribution and Style Transfer with Large Language Models](https://aclanthology.org/2026.lrec-1.576/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
3. [HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworks](https://arxiv.org/abs/2609.02772) *— 2026 · arXiv:2609.02772*
4. [CAVE: Controllable Authorship Verification Explanations](https://aclanthology.org/2025.naacl-long.451/) *— 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)*
5. [Jenin at AraGenEval Shared Task: Parameter-Efficient Fine-Tuning and Layer-Wise Analysis of Arabic LLMs for Authorship Style Transfer and Classification](https://aclanthology.org/2025.arabicnlp-sharedtasks.17/) *— 2025 · Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks*
6. [Steering Large Language Models with Register Analysis for Arbitrary Style Transfer](https://arxiv.org/abs/2505.00679) *— 2025 · arXiv:2505.00679*
7. [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)*
8. [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)*
9. [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*
10. [Keep it Private: Unsupervised Privatization of Online Text](https://aclanthology.org/2024.naacl-long.480/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
11. [Large Human Language Models: A Need and the Challenges](https://aclanthology.org/2024.naacl-long.477/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
12. [StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements](https://md.mova.elamur.ai/free/en/docs/papers/fisher-2024-styleremix-interpretable-authorship-obfuscation-distillation/) *— our card · 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
13. [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*
14. [Combating Misinformation in the Age of LLMs: Opportunities and Challenges](https://arxiv.org/abs/2311.05656) *— 2023 · arXiv:2311.05656*
15. [Learning Interpretable Style Embeddings via Prompting LLMs](https://aclanthology.org/2023.findings-emnlp.1020/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
16. [ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer](https://arxiv.org/abs/2308.15459) *— 2023 · arXiv:2308.15459*
17. [STEER: Unified Style Transfer with Expert Reinforcement](https://aclanthology.org/2023.findings-emnlp.506/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
18. bao-2025-who-s-author-how-explanations
19. cho-2025-tuning-free-personalized-alignment-trial
20. kim-2026-interpreting-style-representations-style-eliciting
21. liu-2024-authorship-style-transfer-policy-optimization
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