JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability

arXiv:2402.17887v1 Announce Type: new
Abstract: With the explosive growth of medical data and the rapid development of artificial intelligence technology, precision medicine has emerged as a key to enhancing the quality and efficiency of healthcare services. In this context, Large Language Models (LLMs) play an increasingly vital role in medical knowledge acquisition and question-answering systems. To further improve the performance of these systems in the medical domain, we introduce an innovative method that jointly trains an Information Retrieval (IR) system …

abstract artificial artificial intelligence arxiv capability context cs.cl cs.ir data development efficiency growth healthcare intelligence key language language models large language large language models llm llms medical medical data medicine precision precision medicine professional quality question question answering reasoning retrieval services technology training type