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

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Published in:Big Data Mining and Analytics
Format: Online Article RSS Article
Published: 2026
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container_title Big Data Mining and Analytics
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet Big Data Mining and Analytics
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Editorial: Special Section on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications
— — — — — — database management
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display — — — — — — database management
Computer Science & IT
Engineering & Technology
— — — — — — database management
Computer Science & IT
Engineering & Technology
subject_facet — — — — — — database management
Computer Science & IT
Engineering & Technology
title Editorial: Special Section on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications
title_auth Editorial: Special Section on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications
title_full Editorial: Special Section on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications
title_fullStr Editorial: Special Section on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications
title_full_unstemmed Editorial: Special Section on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications
title_short Editorial: Special Section on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications
title_sort editorial: special section on challenges and opportunities in retrieval-augmented generation for llms: techniques, trends, and applications
topic — — — — — — database management
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11373483