CuriousLLM: Elevating Multi-Document QA with Reasoning-Infused Knowledge Graph Prompting

arXiv:2404.09077v1 Announce Type: cross
Abstract: In the field of Question Answering (QA), unifying large language models (LLMs) with external databases has shown great success. However, these methods often fall short in providing the advanced reasoning needed for complex QA tasks. To address these issues, we improve over a novel approach called Knowledge Graph Prompting (KGP), which combines knowledge graphs with a LLM-based agent to improve reasoning and search accuracy. Nevertheless, the original KGP framework necessitates costly fine-tuning with large datasets …

abstract advanced arxiv cs.ai cs.cl cs.ir cs.lg databases document graph however knowledge knowledge graph language language models large language large language models llms novel prompting question question answering reasoning success tasks type