Current LLM+KG systems face a bottleneck in amortized reasoning because retrieval and prompting pipelines repeatedly query the Knowledge Graph for every Beam search or Chain-of-Thought (CoT) step, leading to quadratic computational growth.

Authors

• Person: Not available Organization: arXiv
  Large Language Models Meet Knowledge Graphs for Question ...

Sources

• Large Language Models Meet Knowledge Graphs for Question ... arxiv.org arXiv via serper

Referenced by nodes (2)

• Knowledge Graph concept
• chain-of-thought concept