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The research aims to integrate structured knowledge from Knowledge Graphs into Large Language Models to enhance symbolic reasoning.

December 21, 2025Open Access

Injecting Knowledge Graphs into Large Language Models

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This approach improves reasoning efficiency in large language models by utilizing knowledge graphs and fine-tuning techniques.

The research aims to integrate structured knowledge from Knowledge Graphs into Large Language Models to enhance symbolic reasoning.
Utilized graph embeddings within LLM input as tokens
Leveraged Knowledge Graph Embedding models
Ensured model-agnostic design for broad compatibility
Conducted experiments on synthetic and real-world datasets
Improved reasoning performance over established baselines
Achieved best trade-off between accuracy and efficiency against state-of-the-art LLMs

Erica Coppolillo (2025) studied this question.

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