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Integrating large language models (LLMs) into healthcare holds great potential but faces challenges.
Large language models in medicine
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Automatic evaluation of summaries using n-gram co-occurrence statistics
Chin-Yew Lin and Eduard H. Hovy. 2003 · 2003
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Meddialog: a large-scale medical dialogue dataset
Shu Chen, Zeqian Ju, Xiangyu Dong, Hongchao Fang, Sicheng Wang, Yue Yang, Jiaqi Zeng, Ruisi Zhang, Ruoyu Zhang, Meng Zhou, Penghui Zhu, and Pengtao Xie. 2020 · 2004
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Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, and Peter Szolovits. 2020 · 2009
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Qasystemonmedicalgraph
Zhihao Chen. 2018 · 2018
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chatbot-base-on-knowledge-graph
Yang Bai. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Chinese-medical-dialogue-data
Toyhom. 2019 · 2019
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Decolonising speech and language technology
Steven Bird. 2020 · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
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On pursuit of designing multi-modal transformer for video grounding
Meng Cao, Long Chen, Mike Zheng Shou, Can Zhang, and Yuexian Zou. 2021 · 2021
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Domain-specific language model pretraining for biomedical natural language processing
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon. 2021 · 2021
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Measuring massive multitask language understanding
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt. 2021 · 2021
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Lora: Low-rank adaptation of large language models
J. Edward Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, and Weizhu Chen. 2021 · 2021
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P-tuning v2: Prompt tuning can be comparable to fine-tuning universally across scales and tasks
Xiao Liu, Kaixuan Ji, Yicheng Fu, Zhengxiao Du, Zhilin Yang, and Jie Tang. 2021 · 2021
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Zero-offload: Democratizing billion-scale model training
Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, Olatunji Ruwase, Shuangyang Yang, Minjia Zhang, Dong Li, and Yuxiong He. 2021 · 2021
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Cola: Weakly-supervised temporal action localization with snippet contrastive learning
Can Zhang, Meng Cao, Dongming Yang, Jie Chen, and Yuexian Zou. 2021 · 2021
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. 2022 · 2022
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Glm: General language model pretraining with autoregressive blank infilling
Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, and Jie Tang. 2022 · 2022
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Deduplicating training data makes language models better
Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, and Nicholas Carlini. 2022 · 2022
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Automated loinc standardization using pre-trained large language models
Tao Tu, Eric Loreaux, Emma Chesley, Adam D Lelkes, Paul Gamble, Mathias Bellaiche, Martin Seneviratne, and Ming-Jun Chen. 2022 · 2022
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Unsupervised pre-training for temporal action localization tasks
Can Zhang, Tianyu Yang, Junwu Weng, Meng Cao, Jue Wang, and Yuexian Zou. 2022 · 2022
Embracing large language models for medical applications: Opportunities and challenges
Mert Karabacak and Konstantinos Margetis. 2023 · 2023
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An empirical study of catastrophic forgetting in large language models during continual fine-tuning
Yun Luo, Zhen Yang, Fandong Meng, Yafu Li, Jie Zhou, and Yue Zhang. 2023 · 2023
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OpenAI. 2023 · 2023
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Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, and Jianfeng Gao. 2023 · 2023
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Large ai models in health informatics: Applications, challenges, and the future
Jianing Qiu, Lin Li, Jiankai Sun, Jiachuan Peng, Peilun Shi, Ruiyang Zhang, Yinzhao Dong, Kyle Lam, Frank P.-W. Lo, Bo Xiao, Wu Yuan, Ningli Wang, Dong Xu, and Benny Lo. 2023 · 2023
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Iterative proposal refinement for weakly-supervised video grounding
Meng Cao, Fangyun Wei, Can Xu, Xiubo Geng, Long Chen, Can Zhang, Yuexian Zou, Tao Shen, and Daxin Jiang. 2023 · 2023
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The potential impact of chatgpt/gpt-4 on surgery: will it topple the profession of surgeons?
K. Cheng, Z. Sun, Y. He, S. Gu, and H. Wu. 2023 · 2023
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Chinese-vicuna: A chinese instruction-following llama-based model
Zhenyi Lu Chenghao Fan and Jie Tian. 2023 · 2023
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Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E. Gonzalez, Ion Stoica, and Eric P. Xing. 2023 · 2023
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Exploring the potential of chat-gpt as a supportive tool for sialendoscopy clinical decision making and patient information support
CM. Chiesa-Estomba, JR. Lechien, LA. Vaira, A. Brunet, G. Cammaroto, M. Mayo-Yanez, A. Sanchez-Barrueco, and C. Saga-Gutierrez. 2023 · 2023
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Efficient and effective text encoding for chinese llama and alpaca
Yiming Cui, Ziqing Yang, and Xin Yao. 2023 · 2023
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How close is chatgpt to human experts? comparison corpus, evaluation, and detection
Biyang Guo, Xin Zhang, Ziyuan Wang, Minqi Jiang, Jinran Nie, Yuxuan Ding, Jianwei Yue, and Yupeng Wu. 2023 · 2023
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Direct preference optimization: Your language model is secretly a reward model
Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D Manning, and Chelsea Finn. 2023 · 2023
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Evaluating chatbot efficacy for answering frequently asked questions in plastic surgery: A chatgpt case study focused on breast augmentation
Ishith Seth, Aram Cox, Yi Xie, Gabriella Bulloch, David Hunter-Smith, Warren Rozen, and Richard Ross. 2023 · 2023
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Safety assessment of chinese large language models
Hao Sun, Zhexin Zhang, Jiawen Deng, Jiale Cheng, and Minlie Huang. 2023 · 2023
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Leveraging language models for inpatient diagnosis coding
Kerdkiat Suvirat, Detphop Tanasanchonnakul, Sawrawit Chairat, and Sitthichok Chaichulee. 2023 · 2023
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Stanford alpaca: An instruction-following llama model
Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li, Carlos Guestrin, Percy Liang, and Tatsunori B. Hashimoto. 2023 · 2023
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Augustin Toma, Patrick R Lawler, Jimmy Ba, Rahul G Krishnan, Barry B Rubin, and Bo Wang. 2023 · 2023
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The shaky foundations of large language models and foundation models for electronic health records
Michael Wornow, Yizhe Xu, Rahul Thapa, Birju Patel, Ethan Steinberg, Scott Fleming, Michael A Pfeffer, Jason Fries, and Nigam H Shah. 2023 · 2023
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Exploring social media for early detection of depression in COVID-19 patients
Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, and Jie Yang. 2023 · 2023
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Doctorglm: Fine-tuning your chinese doctor is not a herculean task
Honglin Xiong, Sheng Wang, Yitao Zhu, Zihao Zhao, Yuxiao Liu, Linlin Huang, Qian Wang, and Dinggang Shen. 2023 · 2023
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Medicalgpt: Training medical gpt model
Ming Xu. 2023 · 2023
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Bianque-1.0: Improving the” question” ability of medical chat model through finetuning with hybrid instructions and multi-turn doctor qa datasets,” 2023
C Yirong, W Zhenyu, X Xiaofen, X Zhipei, F Kai, L Sihang, W Junhong, and X Xiangmin. 2023 · 2023
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al. 2023 · 2023
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Exploring recommendation capabilities of gpt-4v (ision): A preliminary case study
Peilin Zhou, Meng Cao, You-Liang Huang, Qichen Ye, Peiyan Zhang, Junling Liu, Yueqi Xie, Yining Hua, and Jaeboum Kim. 2023 · 2023
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