MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding

arXiv:2403.06611v1 Announce Type: new
Abstract: With appropriate data selection and training techniques, Large Language Models (LLMs) have demonstrated exceptional success in various medical examinations and multiple-choice questions. However, the application of LLMs in medical dialogue generation-a task more closely aligned with actual medical practice-has been less explored. This gap is attributed to the insufficient medical knowledge of LLMs, which leads to inaccuracies and hallucinated information in the generated medical responses. In this work, we introduce the Medical dialogue with Knowledge …

abstract application arxiv clinical cs.ai cs.cl data dialogue encoding gap however knowledge language language models large language large language models llms medical multiple practice questions success training type