Towards Comprehensive Vietnamese Retrieval-Augmented Generation and Large Language Models
On the map: Retrieval-augmented generation → RAG pipeline design and evaluation
Abstract (arXiv)
This paper presents our contributions towards advancing the state of Vietnamese language understanding and generation through the development and dissemination of open datasets and pre-trained models for Vietnamese Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs).
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in RAG pipeline design and evaluation, one of 15 directions in Retrieval-augmented generation. Builds on 4 of its 8 references that are in the map. First posted on arXiv 3 Mar 2024.
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4 of 8 references.
References · 4
- 2022Self-Instruct: Aligning Language Models with Self-Generated Instructionscited by 2,674
- 2023Efficient and Effective Text Encoding for Chinese LLaMA and Alpacacited by 302
- 2023CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languagescited by 172
- 2020PhoBERT: Pre-trained language models for Vietnamesecited by 148
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Citing papers per year: 2024: 1.
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