Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering

arXiv:2402.14320v1 Announce Type: new
Abstract: Recent progress with LLM-based agents has shown promising results across various tasks. However, their use in answering questions from knowledge bases remains largely unexplored. Implementing a KBQA system using traditional methods is challenging due to the shortage of task-specific training data and the complexity of creating task-focused model structures. In this paper, we present Triad, a unified framework that utilizes an LLM-based agent with three roles for KBQA tasks. The agent is assigned three roles …

abstract agent agents arxiv cs.ai cs.cl data framework knowledge knowledge base llm progress question question answering questions role shortage solve tasks task-specific training training training data type