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Found 5 papers, 1 papers with code
Navigating Chemical Space with Latent Flows
In this paper, we propose a new framework, ChemFlow, to traverse chemical space through navigating the latent space learned by molecule generative models through flows.
A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry
Since the inception of the Transformer architecture in 2017, Large Language Models (LLMs) such as GPT and BERT have evolved significantly, impacting various industries with their advanced capabilities in language understanding and 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.
Sinoledge: A Knowledge Engine based on Logical Reasoning and Distributed Micro Services
We propose a knowledge engine called Sinoledge mainly for doctors, physicians, and researchers in medical field to organize thoughts, manage reasoning process, test and deploy to production environments effortlessly.
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.
