Connecting AI: Merging Large Language Models and Knowledge Graph
Author:
Affiliation:
1. Singidunum University, Belgrade, Serbia
2. EVOTEK, San Diego, CA, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/2/10286170/10286238.pdf?arnumber=10286238
Reference27 articles.
1. Knowledge Graphs: Opportunities and Challenges
2. A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
3. Knowledge graph fusion for smart systems: A Survey
4. Tucker decomposition-based temporal knowledge graph completion
5. Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
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