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Large language models (LLMs) are capable of many natural language tasks, yet they are far from perfect.
Large-scale assessment of a smartwatch to identify atrial fibrillation
Marco V. Perez, Kenneth W. Mahaffey, Haley Hedlin, John S. Rumsfeld, Ariadna Garcia, Todd Ferris, Vidhya Balasubramanian, Andrea M. Russo, Amol Rajmane, Lauren Cheung, Grace Hung, Justin Lee, Peter Kowey, Nisha Talati, Divya Nag, Santosh E. Gummidipundi, Alexis Beatty, Mellanie True Hills, Sumbul Desai, Christopher B. Granger, Manisha Desai, and Mintu P. Turakhia · 2019
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Replication Data for: Using machine learning methods to predict physical activity types with Apple Watch and Fitbit data using indirect calorimetry as the criterion., 2020
Daniel Fuller · 2020
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Pmdata: A sports logging dataset
Vajira Thambawita, Steven Alexander Hicks, Hanna Borgli, Håkon Kvale Stensland, Debesh Jha, Martin Kristoffer Svensen, Svein-Arne Pettersen, Dag Johansen, Håvard Dagenborg Johansen, Susann Dahl Pettersen, Simon Nordvang, Sigurd Pedersen, Anders Gjerdrum, Tor-Morten Grønli, Per Morten Fredriksen, Ragnhild Eg, Kjeld Hansen, Siri Fagernes, Christine Claudi, Andreas Biørn-Hansen, Duc Tien Dang Nguyen, Tomas Kupka, Hugo Lewi Hammer, Ramesh Jain, Michael Alexander Riegler, and Pål Halvorsen · 2020
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Lora: Low-rank adaptation of large language models, 2021
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
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Bard: A structured technique for group elicitation of bayesian networks to support analytic reasoning
Erik P. Nyberg, Ann E. Nicholson, Kevin B. Korb, Michael Wybrow, Ingrid Zukerman, Steven Mascaro, Shreshth Thakur, Abraham Oshni Alvandi, Jeff Riley, Ross Pearson, Shane Morris, Matthieu Herrmann, A.K.M. Azad, Fergus Bolger, Ulrike Hahn, and David Lagnado · 2021
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Wearable and mobile sensors for personalized nutrition
Juliane R Sempionatto, Victor Ruiz-Valdepenas Montiel, Eva Vargas, Hazhir Teymourian, and Joseph Wang · 2021
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Personalized stress monitoring using wearable sensors in everyday settings
Ali Tazarv, Sina Labbaf, Stephanie M Reich, Nikil Dutt, Amir M Rahmani, and Marco Levorato · 2021
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Informer: Beyond efficient transformer for long sequence time-series forecasting, 2021
Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, and Wancai Zhang · 2021
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Atrial fibrillation detection using a feedforward neural network
Yunfan Chen, Chong Zhang, Chengyu Liu, Yiming Wang, and Xiangkui Wan · 2022
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Scaling instruction-finetuned language models, 2022
Hyung Won Chung, … Le Hou, and Jason Wei · 2022
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Predicting depression in adolescents using mobile and wearable sensors: Multimodal machine learning–based exploratory study
Tahsin Mullick, Ana Radovic, Sam Shaaban, and Afsaneh Doryab · 2022
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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 · 2022
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Challenging big-bench tasks and whether chain-of-thought can solve them
Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V Le, Ed H Chi, Denny Zhou, et al · 2022
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Unifying language learning paradigms
Yi Tay, Mostafa Dehghani, Vinh Q Tran, Xavier Garcia, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Neil Houlsby, and Donald Metzler · 2022
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Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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Globem dataset: Multi-year datasets for longitudinal human behavior modeling generalization
Xuhai Xu, Han Zhang, Yasaman Sefidgar, Yiyi Ren, Xin Liu, Woosuk Seo, Jennifer Brown, Kevin Kuehn, Mike Merrill, Paula Nurius, et al · 2022
Cited alongside, same era.
Lifesnaps, a 4-month multi-modal dataset capturing unobtrusive snapshots of our lives in the wild
Sofia Yfantidou, Christina Karagianni, Stefanos Efstathiou, Athena Vakali, Joao Palotti, Dimitrios Panteleimon Giakatos, Thomas Marchioro, Andrei Kazlouski, Elena Ferrari, and Šarūnas Girdzijauskas · 2022
Cited alongside, same era.
Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting, 2022
Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, and Rong Jin · 2022
Cited alongside, same era.
Multimodal llms for health grounded in individual-specific data, 2023
Anastasiya Belyaeva, Justin Cosentino, Farhad Hormozdiari, Krish Eswaran, Shravya Shetty, Greg Corrado, Andrew Carroll, Cory Y. McLean, and Nicholas A. Furlotte · 2023
Cited alongside, same era.
Towards accurate differential diagnosis with large language models
Daniel McDuff, Mike Schaekermann, Tao Tu, Anil Palepu, Amy Wang, Jake Garrison, Karan Singhal, Yash Sharma, Shekoofeh Azizi, Kavita Kulkarni, et al · 2023
Later among the works it cites.
Capabilities of gpt-4 on medical challenge problems, 2023
Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan, and Eric Horvitz · 2023
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Privacy-preserving large language models (ppllms)
Mohammad Raeini · 2023
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Ai4fooddb: a database for personalized e-health nutrition and lifestyle through wearable devices and artificial intelligence
Sergio Romero-Tapiador, Blanca Lacruz-Pleguezuelos, Ruben Tolosana, Gala Freixer, Roberto Daza, Cristina M Fernández-Díaz, Elena Aguilar-Aguilar, Jorge Fernández-Cabezas, Silvia Cruz-Gil, Susana Molina, et al · 2023
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Towards expert-level medical question answering with large language models
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Zachary Englhardt, Chengqian Ma, Margaret E Morris, Xuhai Xu, Chun-Cheng Chang, Lianhui Qin, Xin Liu, Shwetak Patel, Vikram Iyer, et al · 2023
Cited alongside, same era.
Understanding social reasoning in language models with language models, 2023
Kanishk Gandhi, Jan-Philipp Fränken, Tobias Gerstenberg, and Noah D. Goodman · 2023
Cited alongside, same era.
Gemini: A family of highly capable multimodal models, 2023
Sebastian Borgeaud … Oriol Vinyals Gemini Team, Rohan Anil · 2023
Cited alongside, same era.
Large language models are zero-shot time series forecasters, 2023
Nate Gruver, Marc Finzi, Shikai Qiu, and Andrew Gordon Wilson · 2023
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
Cited alongside, same era.
Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, and Erik Cambria · 2023
Cited alongside, same era.
Tabllm: Few-shot classification of tabular data with large language models, 2023
Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, and David Sontag · 2023
Cited alongside, same era.
Llama 2: Open foundation and fine-tuned chat models, 2023
… Hugo Touvron and Thomas Scialom · 2023
Cited alongside, same era.
Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, et al · 2023
Later among the works it cites.
Medagents: Large language models as collaborators for zero-shot medical reasoning, 2023
Xiangru Tang, Anni Zou, Zhuosheng Zhang, Yilun Zhao, Xingyao Zhang, Arman Cohan, and Mark Gerstein · 2023
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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
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Clinical camel: An open expert-level medical language model with dialogue-based knowledge encoding, 2023
Augustin Toma, Patrick R. Lawler, Jimmy Ba, Rahul G. Krishnan, Barry B. Rubin, and Bo Wang · 2023
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Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices
Gideon Vos, Kelly Trinh, Zoltan Sarnyai, and Mostafa Rahimi Azghadi · 2023
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Transformers in time series: A survey, 2023
Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, and Liang Sun · 2023
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Mental-llm: Leveraging large language models for mental health prediction via online text data, 2023
Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, Saadia Gabriel, Hong Yu, James Hendler, Marzyeh Ghassemi, Anind K. Dey, and Dakuo Wang · 2023
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Coding inequity: Assessing gpt-4’s potential for perpetuating racial and gender biases in healthcare
Travis Zack, Eric Lehman, Mirac Suzgun, Jorge A Rodriguez, Leo Anthony Celi, Judy Gichoya, Dan Jurafsky, Peter Szolovits, David W Bates, Raja-Elie E Abdulnour, et al · 2023
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Biomistral: A collection of open-source pretrained large language models for medical domains, 2024
Yanis Labrak, Adrien Bazoge, Emmanuel Morin, Pierre-Antoine Gourraud, Mickael Rouvier, and Richard Dufour · 2024
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Towards conversational diagnostic ai, 2024
Tao Tu, Anil Palepu, Mike Schaekermann, Khaled Saab, Jan Freyberg, Ryutaro Tanno, Amy Wang, Brenna Li, Mohamed Amin, Nenad Tomasev, Shekoofeh Azizi, Karan Singhal, Yong Cheng, Le Hou, Albert Webson, Kavita Kulkarni, S Sara Mahdavi, Christopher Semturs, Juraj Gottweis, Joelle Barral, Katherine Chou, Greg S Corrado, Yossi Matias, Alan Karthikesalingam, and Vivek Natarajan · 2024
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Biomedgpt: A unified and generalist biomedical generative pre-trained transformer for vision, language, and multimodal tasks, 2024
Kai Zhang, Jun Yu, Eashan Adhikarla, Rong Zhou, Zhiling Yan, Yixin Liu, Zhengliang Liu, Lifang He, Brian Davison, Xiang Li, Hui Ren, Sunyang Fu, James Zou, Wei Liu, Jing Huang, Chen Chen, Yuyin Zhou, Tianming Liu, Xun Chen, Yong Chen, Quanzheng Li, Hongfang Liu, and Lichao Sun · 2024
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