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In recent years, Large Language Models (LLMs) have demonstrated an impressive ability to encode knowledge during pre-training on large text corpora.
Large language models in medicine
Arun James Thirunavukarasu, Darren Shu Jeng Ting, Kabilan Elangovan, Laura Gutierrez, Ting Fang Tan, and Daniel Shu Wei Ting. 2023 · 1940
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
How to write a cochrane systematic review
Lorna K Henderson, Jonathan C Craig, Narelle S Willis, David Tovey, and Angela C Webster. 2010 · 2010
Earlier work this paper cites.
Pubmed: the bibliographic database
Kathi Canese and Sarah Weis. 2013 · 2013
Earlier work this paper cites.
How to do a systematic review
Alex Pollock and Eivind Berge. 2018 · 2018
Earlier work this paper cites.
PubMedQA: A dataset for biomedical research question answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, and Xinghua Lu. 2019 · 2019
Earlier work this paper cites.
Toward systematic review automation: a practical guide to using machine learning tools in research synthesis
Iain J Marshall and Byron C Wallace. 2019 · 2019
Earlier work this paper cites.
Fact or fiction: Verifying scientific claims
David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, and Hannaneh Hajishirzi. 2020 · 2020
Earlier work this paper cites.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
Earlier work this paper cites.
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
Earlier work this paper cites.
Chapter ii: planning a cochrane review
Miranda Cumpston and J Chandler. 2022 · 2022
Earlier work this paper cites.
A review of sparse expert models in deep learning
William Fedus, Jeff Dean, and Barret Zoph. 2022 · 2022
Earlier work this paper cites.
Most healthcare interventions tested in cochrane reviews are not effective according to high quality evidence: a systematic review and meta-analysis
Jeremy Howick, Despina Koletsi, John PA Ioannidis, Claire Madigan, Nikolaos Pandis, Martin Loef, Harald Walach, Sebastian Sauer, Jos Kleijnen, Jadbinder Seehra, et al. 2022 · 2022
Earlier work this paper cites.
Listening to music for insomnia in adults
Kira V Jespersen, Victor Pando-Naude, Julian Koenig, Poul Jennum, and Peter Vuust. 2022 · 2022
Cited alongside, same era.
Biomedical question answering: a survey of approaches and challenges
Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, and Sheng Yu. 2022 · 2022
Cited alongside, same era.
Can large language models reason about medical questions?
Valentin Liévin, Christoffer Egeberg Hother, and Ole Winther. 2022 · 2022
Cited alongside, same era.
The future landscape of large language models in medicine
Jan Clusmann, Fiona R Kolbinger, Hannah Sophie Muti, Zunamys I Carrero, Jan-Niklas Eckardt, Narmin Ghaffari Laleh, Chiara Maria Lavinia Löffler, Sophie-Caroline Schwarzkopf, Michaela Unger, Gregory P Veldhuizen, et al. 2023 · 2023
Cited alongside, same era.
Interventions to improve the appropriate use of polypharmacy for older people
Judith A Cole, Daniela C Gonçalves-Bradley, Mubarak Alqahtani, Heather E Barry, Cathal Cadogan, Audrey Rankin, Susan M Patterson, Ngaire Kerse, Chris R Cardwell, Cristin Ryan, and Carmel Hughes. 2023 · 2023
Artificial intelligence in systematic reviews: promising when appropriately used
Sanne HB van Dijk, Marjolein GJ Brusse-Keizer, Charlotte C Bucsán, Job van der Palen, Carine JM Doggen, and Anke Lenferink. 2023 · 2023
Later among the works it cites.
Antidepressants for the treatment of depression in people with cancer
Giovanni Vita, Beatrice Compri, Faith Matcham, Corrado Barbui, and Giovanni Ostuzzi. 2023 · 2023
Later among the works it cites.
Scientific fact-checking: A survey of resources and approaches
Juraj Vladika and Florian Matthes. 2023 · 2023
Later among the works it cites.
Pmc-llama: Towards building open-source language models for medicine
Chaoyi Wu, Weixiong Lin, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, and Weidi Xie. 2023 · 2023
Later among the works it cites.
Sucrose analgesia for heel-lance procedures in neonates
Janet Yamada, Mariana Bueno, Lucia Santos, Sarah Haliburton, Marsha Campbell-Yeo, and Bonnie Stevens. 2023 · 2023
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Medalpaca–an open-source collection of medical conversational ai models and training data
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.
Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al. 2023 · 2023
Cited alongside, same era.
Bioasq-qa: A manually curated corpus for biomedical question answering
Anastasia Krithara, Anastasios Nentidis, Konstantinos Bougiatiotis, and Georgios Paliouras. 2023 · 2023
Cited alongside, same era.
Chatdoctor: A medical chat model fine-tuned on a large language model meta-ai (llama) using medical domain knowledge
Yunxiang Li, Zihan Li, Kai Zhang, Ruilong Dan, Steve Jiang, and You Zhang. 2023 · 2023
Cited alongside, same era.
Gpt-4 technical report
OpenAI. 2023 · 2023
Cited alongside, same era.
Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, et al. 2023 · 2023
Cited alongside, same era.
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
Cited alongside, same era.
Editing large language models: Problems, methods, and opportunities
Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, and Ningyu Zhang. 2023 · 2023
Later among the works it cites.
How do large language models capture the ever-changing world knowledge? a review of recent advances
Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, and Jun Wang. 2023 · 2023
Later among the works it cites.
Alpha-lipoic acid for diabetic peripheral neuropathy
Cristian Baicus, Adrian Purcarea, Erik von Elm, Caterina Delcea, and Florentina L Furtunescu. 2024 · 2024
Closest in time.
Evaluating the ripple effects of knowledge editing in language models
Roi Cohen, Eden Biran, Ori Yoran, Amir Globerson, and Mor Geva. 2024 · 2024
Closest in time.
Albert Q Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, et al. 2024 · 2024
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Opportunities and challenges for chatgpt and large language models in biomedicine and health
Shubo Tian, Qiao Jin, Lana Yeganova, Po-Ting Lai, Qingqing Zhu, Xiuying Chen, Yifan Yang, Qingyu Chen, Won Kim, Donald C Comeau, et al. 2024 · 2024
Closest in time.
HealthFC: Verifying health claims with evidence-based medical fact-checking
Juraj Vladika, Phillip Schneider, and Florian Matthes. 2024 · 2024
Closest in time.