[ACL 2024 Findings] MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning https://arxiv.org/abs/2311.10537
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Updated
May 27, 2024 - Python
[ACL 2024 Findings] MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning https://arxiv.org/abs/2311.10537
A novel medical large language model family with 13/70B parameters, which have SOTA performances on various medical tasks
Medical Question-Answering datasets prepared for the TREC 2017 LiveQA challenge (Medical Task)
The First Generate-then-Read Framework for Multiple-Choice Question Answering in Medicine
The use of ChatGPT in the healthcare sector
This repo contains the code for the paper Does Domain-Specific Retrieval Augmented Generation Help LLMs Answer Consumer Health Questions?
Persian Question Answering Dataset
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