MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning

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Overview of the MEDIQA 2019 shared task on textual inference, question entailment and question answering

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PubMedQA: A dataset for biomedical research question answering

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Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters

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Max Savery, Asma Ben Abacha, Soumya Gayen, and Dina Demner-Fushman. 2020 · 2020

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What disease does this patient have? a large-scale open domain question answering dataset from medical exams

Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, and Peter Szolovits. 2021 · 2021

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Lora: Low-rank adaptation of large language models

Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022 · 2022

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Clinical-longformer and clinical-bigbird: Transformers for long clinical sequences

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Yikuan Li, Ramsey M Wehbe, Faraz S Ahmad, Hanyin Wang, and Yuan Luo. 2022 · 2022

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Biogpt: generative pre-trained transformer for biomedical text generation and mining

Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, and Tie-Yan Liu. 2022 · 2022

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Introducing chatgpt

OpenAI. 2022 · 2022

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Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering

Ankit Pal, Logesh Kumar Umapathi, and Malaikannan Sankarasubbu. 2022 · 2022

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Parameter-efficient fine-tuning of llama for the clinical domain

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Aryo Gema, Luke Daines, Pasquale Minervini, and Beatrice Alex. 2023 · 2023

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Medalpaca–an open-source collection of medical conversational ai models and training data

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Tianyu Han, Lisa C Adams, Jens-Michalis Papaioannou, Paul Grundmann, Tom Oberhauser, Alexander Löser, Daniel Truhn, and Keno K Bressem. 2023 · 2023

Cited alongside, same era.

k k nn-adapter: Efficient domain adaptation for black-box language models

Original

Yangsibo Huang, Daogao Liu, Zexuan Zhong, Weijia Shi, and Yin Tat Lee. 2023 · 2023

Cited alongside, same era.

GRACE: Discriminator-guided chain-of-thought reasoning

Small models are valuable plug-ins for large language models

Original

Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, and Julian McAuley. 2023 · 2023

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Effective large language model adaptation for improved grounding

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Xi Ye, Ruoxi Sun, Sercan Ö Arik, and Tomas Pfister. 2023 · 2023

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Chatdoctor: A medical chat model fine-tuned on llama model using medical domain knowledge

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Li Yunxiang, Li Zihan, Zhang Kai, Dan Ruilong, and Zhang You. 2023 · 2023

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Train/test-time adaptation with retrieval

Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, and Stefano Soatto. 2023 · 2023

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Alpacare: Instruction-tuned large language models for medical application