Results 301 to 310 of about 2,284,887 (317)
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Retrieval-Augmented Generation with Estimation of Source Reliability

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Retrieval-Augmented Generation (RAG) is an effective approach to enhance the factual accuracy of large language models (LLMs) by retrieving information from external databases, which are typically composed of diverse sources, to supplement the limited ...
Jeongyeon Hwang   +4 more
semanticscholar   +1 more source

Tribological factual database for the mining industry

1986
The publication is stored in the NRC Archives.
Huard, Gilles   +4 more
openaire   +1 more source

RadioRAG: Factual Large Language Models for Enhanced Diagnostics in Radiology Using Dynamic Retrieval Augmented Generation

arXiv.org
Soroosh Tayebi   +174 more
semanticscholar   +1 more source

Resolving Common Analytical Tasks in Text Databases

International Workshop on Data Warehousing and OLAP, 2015
Sebastian Arnold   +2 more
semanticscholar   +1 more source

Legal Protection of Factual Compilations and Databases

The Journal of World Intellectual Property, 2002
openaire   +1 more source

The Architecture of a Factual Database on Coatings: The Coatings and High Temperature Corrosion Data Bank

Solid State Phenomena, 1995
S. Vaugelade   +3 more
openaire   +1 more source

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