Who cites «Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer»

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

1. Diff4TST: Masked Diffusion Language Model for Text Style Transfer — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
2. Unsupervised Text Style Transfer for Controllable Intensity — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
3. A Benchmark for Translations Across Styles and Language Variants — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
4. Evaluating Text Style Transfer Evaluation: Are There Any Reliable Metrics? — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)
5. 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
6. Text Style Transfer Evaluation Using Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
7. ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
8. A Call for Standardization and Validation of Text Style Transfer Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
9. A Question of Style: A Dataset for Analyzing Formality on Different Levels — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
10. FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
11. Improving Neural Machine Translation Formality Control with Domain Adaptation and Reranking-based Transductive Learning — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
12. In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
13. Multidimensional Evaluation for Text Style Transfer Using ChatGPT — 2023 · arXiv:2304.13462
14. Responsibility Perspective Transfer for Italian Femicide News — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
15. 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)
16. 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
17. Challenges and Strategies in Cross-Cultural NLP — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
18. Controlling Translation Formality Using Pre-trained Multilingual Language Models — 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)
19. 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)
20. Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
21. 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
22. Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text — 2022 · arXiv:2202.06935
23. Studying the role of named entities for content preservation in text style transfer — 2022 · arXiv:2206.09676 · Natural Language Processing and Information Systems. NLDB 2022. Lecture Notes in Computer Science, vol 13286. Springer, Cham, p.437--448
24. kaur-2026-who-s-asking-simulating-role
25. pauli-2025-mind-style-gap-meta-evaluation

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