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    <abstract>This paper presents ViSP, a high-quality Vietnamese dataset for sentence paraphrasing, consisting of 1.2M original–paraphrase pairs collected from various domains. The dataset was constructed using a hybrid approach that combines automatic paraphrase generation with manual evaluation to ensure high quality. We conducted experiments using methods such as back-translation, EDA, and baseline models like BART and T5, as well as large language models (LLMs), including GPT-4o, Gemini-1.5, Aya, Qwen-2.5, and Meta-Llama-3.1 variants. To the best of our knowledge, this is the first large-scale study on Vietnamese paraphrasing. We hope that our dataset and findings will serve as a valuable foundation for future research and applications in Vietnamese paraphrase tasks. The dataset is available for research purposes at https://github.com/ngwgsang/ViSP.</abstract>
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%0 Conference Proceedings
%T A Large-Scale Benchmark for Vietnamese Sentence Paraphrases
%A Nguyen, Sang Quang
%A Nguyen, Kiet Van
%Y Chiruzzo, Luis
%Y Ritter, Alan
%Y Wang, Lu
%S Findings of the Association for Computational Linguistics: NAACL 2025
%D 2025
%8 April
%I Association for Computational Linguistics
%C Albuquerque, New Mexico
%@ 979-8-89176-195-7
%F nguyen-nguyen-2025-large
%X This paper presents ViSP, a high-quality Vietnamese dataset for sentence paraphrasing, consisting of 1.2M original–paraphrase pairs collected from various domains. The dataset was constructed using a hybrid approach that combines automatic paraphrase generation with manual evaluation to ensure high quality. We conducted experiments using methods such as back-translation, EDA, and baseline models like BART and T5, as well as large language models (LLMs), including GPT-4o, Gemini-1.5, Aya, Qwen-2.5, and Meta-Llama-3.1 variants. To the best of our knowledge, this is the first large-scale study on Vietnamese paraphrasing. We hope that our dataset and findings will serve as a valuable foundation for future research and applications in Vietnamese paraphrase tasks. The dataset is available for research purposes at https://github.com/ngwgsang/ViSP.
%R 10.18653/v1/2025.findings-naacl.59
%U https://aclanthology.org/2025.findings-naacl.59/
%U https://doi.org/10.18653/v1/2025.findings-naacl.59
%P 1045-1060

Markdown (Informal)

[A Large-Scale Benchmark for Vietnamese Sentence Paraphrases](https://aclanthology.org/2025.findings-naacl.59/) (Nguyen & Nguyen, Findings 2025)

• A Large-Scale Benchmark for Vietnamese Sentence Paraphrases (Nguyen & Nguyen, Findings 2025)

ACL

• Sang Quang Nguyen and Kiet Van Nguyen. 2025. A Large-Scale Benchmark for Vietnamese Sentence Paraphrases. In Findings of the Association for Computational Linguistics: NAACL 2025, pages 1045–1060, Albuquerque, New Mexico. Association for Computational Linguistics.