Call for Papers Special Issue on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications
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| Format: | Article |
|---|---|
| Language: | English |
| Published: |
Tsinghua University Press
2024-06-01
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| Series: | Big Data Mining and Analytics |
| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2024.9020014 |
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| _version_ | 1832544893814177792 |
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| collection | DOAJ |
| format | Article |
| id | doaj-art-7082a7d4956a459788fcc5ad418eff46 |
| institution | Kabale University |
| issn | 2096-0654 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Big Data Mining and Analytics |
| spelling | doaj-art-7082a7d4956a459788fcc5ad418eff462025-02-03T09:08:16ZengTsinghua University PressBig Data Mining and Analytics2096-06542024-06-017256156110.26599/BDMA.2024.9020014Call for Papers Special Issue on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applicationshttps://www.sciopen.com/article/10.26599/BDMA.2024.9020014 |
| spellingShingle | Call for Papers Special Issue on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications Big Data Mining and Analytics |
| title | Call for Papers Special Issue on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications |
| title_full | Call for Papers Special Issue on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications |
| title_fullStr | Call for Papers Special Issue on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications |
| title_full_unstemmed | Call for Papers Special Issue on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications |
| title_short | Call for Papers Special Issue on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications |
| title_sort | call for papers special issue on challenges and opportunities in retrieval augmented generation for llms techniques trends and applications |
| url | https://www.sciopen.com/article/10.26599/BDMA.2024.9020014 |