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On Data Spaces for Retrieval Augmented Generation

open access: yes
Large Language Models (LLMs) have revolutionized knowledge retrieval from natural language queries. However, LLMs still face challenges regarding the creation of domain-specific and accurate answers. Recently, Retrieval Augmented Generation (RAG) architecture has been proposed as one approach to addressing these challenges.
Felix Hermsen   +4 more
openaire   +2 more sources

Axioms for Retrieval-Augmented Generation

Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR)
Jan Heinrich Merker   +4 more
openaire   +1 more source

Similarity Thresholds in Retrieval-Augmented Generation

2024 IEEE 12th International Conference on Intelligent Systems (IS)
Irina Radeva   +2 more
openaire   +1 more source

Retrieval-Augmented Multilingual Citation Generation

ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Xun Liang 0001   +11 more
openaire   +1 more source

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