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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Uri Roll1,2, Ricardo A Correia2,3,4, Oded Berger-Tal1
1Mitrani Department of Desert Ecology, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Midreshet Ben-Gurion, 8499000, Israel.
This study presents a novel semiautomated method using artificial neural networks to classify homonyms in academic texts, improving systematic reviews in conservation science by accurately identifying relevant research.
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