Cross-Data Knowledge Graph Construction for LLM-enabled Educational Question-Answering System: A~Case~Study~at~HCMUT

arXiv:2404.09296v1 Announce Type: new
Abstract: In today's rapidly evolving landscape of Artificial Intelligence, large language models (LLMs) have emerged as a vibrant research topic. LLMs find applications in various fields and contribute significantly. Despite their powerful language capabilities, similar to pre-trained language models (PLMs), LLMs still face challenges in remembering events, incorporating new information, and addressing domain-specific issues or hallucinations. To overcome these limitations, researchers have proposed Retrieval-Augmented Generation (RAG) techniques, some others have proposed the integration of LLMs with …

abstract applications artificial artificial intelligence arxiv capabilities case challenges construction cs.cl data educational face fields graph intelligence knowledge knowledge graph landscape language language models large language large language models llm llms question research study type