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A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry
We begin by exploring the roles of LLMs in various medical applications, detailing their evaluation based on performance in tasks such as clinical diagnosis, medical text data processing, information retrieval, data analysis, and educational content generation.
Leveraging Large Language Models for Enhanced NLP Task Performance through Knowledge Distillation and Optimized Training Strategies
Our results indicate that a strategic mix of distilled and original data markedly elevates the NER capabilities of BERT.
Training like Playing: A Reinforcement Learning And Knowledge Graph-based framework for building Automatic Consultation System in Medical Field
We introduce a framework for AI-based medical consultation system with knowledge graph embedding and reinforcement learning components and its implement.
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