1 code implementation • 7 May 2024 • Guanghao Wei, Yining Huang, Chenru Duan, Yue Song, Yuanqi Du
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.
no code implementations • 24 Apr 2024 • Yining Huang, Keke Tang, Meilian Chen
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.
no code implementations • 14 Feb 2024 • Yining Huang, Keke Tang, Meilian Chen
Our results indicate that a strategic mix of distilled and original data markedly elevates the NER capabilities of BERT.
no code implementations • 29 Aug 2021 • Yining Huang, Shaoze Lin, Yijun Wei, Keke Tang
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.
no code implementations • 14 Jun 2021 • Yining Huang, Meilian Chen, Keke Tang
We introduce a framework for AI-based medical consultation system with knowledge graph embedding and reinforcement learning components and its implement.