Yang et al. demonstrated that knowledge graph-enhanced pre-trained language models (KGPLMs), which inject a knowledge encoder module into pre-trained language models, consistently exhibit longer running times than vanilla LLMs like BERT across pre-training, fine-tuning, and inference stages.

Authors

• Person: Not available Organization: arXiv
  Combining Knowledge Graphs and Large Language Models - arXiv

Sources

• Combining Knowledge Graphs and Large Language Models - arXiv arxiv.org arXiv via serper

Referenced by nodes (3)

• Large Language Models concept
• BERT concept
• Knowledge graph-enhanced large language models concept