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

1. AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing — our card · 2026 · arXiv:2603.23069
2. Benchmarking Arabic Authorship Attribution and Style Transfer with Large Language Models — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
3. HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworks — 2026 · arXiv:2609.02772
4. Interpreting Style Representations via Style-Eliciting Prompts — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
5. CAVE: Controllable Authorship Verification Explanations — 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)
6. Jenin at AraGenEval Shared Task: Parameter-Efficient Fine-Tuning and Layer-Wise Analysis of Arabic LLMs for Authorship Style Transfer and Classification — 2025 · Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks
7. Steering Large Language Models with Register Analysis for Arbitrary Style Transfer — 2025 · arXiv:2505.00679
8. 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)
9. 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)
10. Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
11. Who's the Author? How Explanations Impact User Reliance in AI-Assisted Authorship Attribution — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
12. Authorship Style Transfer with Policy Optimization — 2024 · arXiv:2403.08043
13. DetoxLLM: A Framework for Detoxification with Explanations — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
14. Keep it Private: Unsupervised Privatization of Online Text — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
15. Large Human Language Models: A Need and the Challenges — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
16. 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
17. TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
18. Combating Misinformation in the Age of LLMs: Opportunities and Challenges — 2023 · arXiv:2311.05656
19. Learning Interpretable Style Embeddings via Prompting LLMs — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
20. ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer — 2023 · arXiv:2308.15459
21. STEER: Unified Style Transfer with Expert Reinforcement — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023