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 …

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 …

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 …

The utilization of large language models (LLMs) in the Healthcare domain has generated
both excitement and concern due to their ability to effectively respond to freetext queries with …

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

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

Training and evaluating language models increasingly requires the construction of meta-
datasets--diverse collections of curated data with clear provenance. Natural language …

In this paper, we release a largest ever medical Question Answering (QA) dataset with 26
million QA pairs. We benchmark many existing approaches in our dataset in terms of both …

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

Objective Most existing fine-tuned biomedical large language models (LLMs) focus on
enhancing performance in monolingual biomedical question answering and conversation …