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Who cites «T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation»

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

  1. Modular Neural Machine Translation with a Semantic Pivot - Pilot Study Using AMR — our card · 2026 · Proceedings of the Workshop on Structured Linguistic Data and Evaluation (SLiDE)
  2. Text Style Transfer with Parameter-efficient LLM Finetuning and Round-trip Translation — 2026 · arXiv:2602.15013
  3. Sentence Smith: Controllable Edits for Evaluating Text Embeddings — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  4. A Survey of AMR Applications — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  5. A Survey of Meaning Representations – From Theory to Practical Utility — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  6. Analyzing the Role of Semantic Representations in the Era of Large 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)
  7. Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation — our card · 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  8. TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  9. AMR-TST: Abstract Meaning Representation-based Text Style Transfer — our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  10. From Sentence to Action: Splitting AMR Graphs for Recipe Instructions — 2023 · Proceedings of the Fourth International Workshop on Designing Meaning Representations

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