Qilin-med: Multi-stage knowledge injection advanced medical large language model

Q Ye, J Liu, D Chong, P Zhou, Y Hua, F Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
Integrating large language models (LLMs) into healthcare holds great potential but faces
challenges. Pre-training LLMs from scratch for domains like medicine is resource-heavy and …

Chimed-gpt: A chinese medical large language model with full training regime and better alignment to human preferences

Y Tian, R Gan, Y Song, J Zhang, Y Zhang - arXiv preprint arXiv …, 2023 - arxiv.org
Recently, the increasing demand for superior medical services has highlighted the
discrepancies in the medical infrastructure. With big data, especially texts, forming the …

Me llama: Foundation large language models for medical applications

Q Xie, Q Chen, A Chen, C Peng, Y Hu, F Lin… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent advancements in large language models (LLMs) such as ChatGPT and LLaMA have
hinted at their potential to revolutionize medical applications, yet their application in clinical …

Biomistral: A collection of open-source pretrained large language models for medical domains

Y Labrak, A Bazoge, E Morin, PA Gourraud… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) have demonstrated remarkable versatility in recent years,
offering potential applications across specialized domains such as healthcare and medicine …

Zhongjing: Enhancing the chinese medical capabilities of large language model through expert feedback and real-world multi-turn dialogue

S Yang, H Zhao, S Zhu, G Zhou, H Xu, Y Jia… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
Abstract Recent advances in Large Language Models (LLMs) have achieved remarkable
breakthroughs in understanding and responding to user intents. However, their performance …

ClinicalGPT: large language models finetuned with diverse medical data and comprehensive evaluation

G Wang, G Yang, Z Du, L Fan, X Li - arXiv preprint arXiv:2306.09968, 2023 - arxiv.org
Large language models have exhibited exceptional performance on various Natural
Language Processing (NLP) tasks, leveraging techniques such as the pre-training, and …

Path to medical agi: Unify domain-specific medical llms with the lowest cost

J Zhou, X Chen, X Gao - medRxiv, 2023 - medrxiv.org
Medical artificial general intelligence (AGI) is an emerging field that aims to develop systems
specifically designed for medical applications that possess the ability to understand, learn …

Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks

L Luo, J Ning, Y Zhao, Z Wang, Z Ding… - Journal of the …, 2024 - academic.oup.com
Objective Most existing fine-tuned biomedical large language models (LLMs) focus on
enhancing performance in monolingual biomedical question answering and conversation …

Lingdan: enhancing encoding of traditional Chinese medicine knowledge for clinical reasoning tasks with large language models

R Hua, X Dong, Y Wei, Z Shu, P Yang… - Journal of the …, 2024 - academic.oup.com
Objective The recent surge in large language models (LLMs) across various fields has yet to
be fully realized in traditional Chinese medicine (TCM). This study aims to bridge this gap by …

Medbench: A large-scale chinese benchmark for evaluating medical large language models

Y Cai, L Wang, Y Wang, G de Melo, Y Zhang… - Proceedings of the …, 2024 - ojs.aaai.org
The emergence of various medical large language models (LLMs) in the medical domain
has highlighted the need for unified evaluation standards, as manual evaluation of LLMs …