mlsanityData to 14 Oct 2026

A Large-Scale Benchmark for Vietnamese Sentence Paraphrases

arXiv 2502.07188 ↗First posted 11 Feb 2025cs.CLcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 25 of its 52 references that are in the map. First posted on arXiv 11 Feb 2025.

Builds on

25 of 52 references.

References · 25

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Citing papers per year: 2026: 1.

1 paper.

  1. 2026VIVID: A Culturally Grounded Benchmark Exposing the Figurative Language Gap in Vietnamese NLPcited by 0