ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs

arXiv:2404.07677v1 Announce Type: new
Abstract: The integration of Large Language Models (LLMs) and knowledge graphs (KGs) has achieved remarkable success in various natural language processing tasks. However, existing methodologies that integrate LLMs and KGs often navigate the task-solving process solely based on the LLM's analysis of the question, overlooking the rich cognitive potential inherent in the vast knowledge encapsulated in KGs. To address this, we introduce Observation-Driven Agent (ODA), a novel AI agent framework tailored for tasks involving KGs. ODA …

abstract agent analysis arxiv cs.ai cs.cl graphs however integration knowledge knowledge graphs language language models language processing large language large language models llm llms natural natural language natural language processing observation process processing question success tasks type