This paper embarks on an exploration into the Large Language Model (LLM) datasets,
which play a crucial role in the remarkable advancements of LLMs. The datasets serve as …

Privacy and ethical considerations limit access to large-scale clinical datasets, particularly
clinical text data, which contain extensive and diverse information and serve as the …

The utilization of large language models (LLMs) for Healthcare has generated both
excitement and concern due to their ability to effectively respond to free-text queries with …

In this paper, we present HuatuoGPT, a large language model (LLM) for medical
consultation. The core recipe of HuatuoGPT is to leverage both\textit {distilled data from …

Pre-trained language models (PLMs) have been the de facto paradigm for most natural
language processing tasks. This also benefits the biomedical domain: researchers from …

Large Language Models (LLMs) provide a possibility to make a great breakthrough in
medicine. The establishment of a standardized medical benchmark becomes a fundamental …

We propose DISC-MedLLM, a comprehensive solution that leverages Large Language
Models (LLMs) to provide accurate and truthful medical response in end-to-end …

Pretrained language models have served as important backbones for natural language
processing. Recently, in-domain pretraining has been shown to benefit various domain …

Foundation model, trained on a diverse range of data and adaptable to a myriad of tasks, is
advancing healthcare. It fosters the development of healthcare artificial intelligence (AI) …

Adapting a language model into a specific domain, akadomain adaption', is a common
practice when specialized knowledge, eg medicine, is not encapsulated in a general …