LB0828/FtG
[COLING'25] Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion
This project helps researchers in artificial intelligence and natural language processing to enhance the capabilities of large language models for understanding and completing knowledge graphs. You input raw knowledge graph data and get out improved, more accurate knowledge graph completions. This tool is for AI researchers or data scientists specializing in knowledge representation and reasoning.
No commits in the last 6 months.
Use this if you are working on knowledge graph completion and need to integrate large language models more effectively with structured knowledge.
Not ideal if you are looking for a pre-trained, plug-and-play solution for general knowledge graph tasks without deep expertise in model training and adaptation.
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Python
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Last pushed
Jan 17, 2025
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