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Open Access

Editorial: Special Section on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications

Philip S. YuHaofen WangFeida Zhu

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Big Data Mining and Analytics
Pages 339-340

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Cite this article:
Yu PS, Wang H, Zhu F. Editorial: Special Section on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications. Big Data Mining and Analytics, 2026, 9(2): 339-340. https://doi.org/10.26599/BDMA.2026.9020002

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Published: 09 February 2026
© The author(s) 2026.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).