OA-RAG: Ontology-based Agentic RAG for Faithful LLM Reasoning
arXiv:2610.36335v1 Announce Type: new Abstract: Large language models (LLMs) perform well across many real-world tasks but remain prone to hallucination, limiting their reliability in domains such as biomedicine and healthcare, where...
Read more: https://arxiv.org/abs/2610.36335
Scan with your phone
Scan with your phone