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Recent developments in large language models (LLMs) have unlocked new opportunities for healthcare, from information synthesis to clinical decision support.
Agent-based modeling: A revolution?
Steven C Bankes · 2002
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Agent-based modeling: Methods and techniques for simulating human systems
Eric Bonabeau · 2002
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Objective structured clinical examination: the assessment of choice
Marliyya Zayyan · 2011
Earlier work this paper cites.
The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios
Daniel J Fagnant and Kara M Kockelman · 2014
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Inside waymo’s secret world for training self-driving cars
Alexis C Madrigal · 2018
Earlier work this paper cites.
Agent-based modeling in public health: current applications and future directions
Melissa Tracy, Magdalena Cerdá, and Katherine M Keyes · 2018
Earlier work this paper cites.
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
Earlier work this paper cites.
Considering the possibilities and pitfalls of generative pre-trained transformer 3 (gpt-3) in healthcare delivery
Diane M Korngiebel and Sean D Mooney · 2021
Earlier work this paper cites.
Welcome to simulation city, the virtual world where waymo tests its autonomous vehicles
Andrew C Hawkins · 2021
Cited alongside, same era.
Large language models are few-shot clinical information extractors
Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, and David Sontag · 2022
Cited alongside, same era.
Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity
Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, and Pontus Stenetorp · 2022
Cited alongside, same era.
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
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 · 2022
Capabilities of gpt-4 on medical challenge problems
Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan, and Eric Horvitz · 2023
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Evaluation of gpt-3.5 and gpt-4 for supporting real-world information needs in healthcare delivery
Debadutta Dash, Rahul Thapa, Juan M Banda, Akshay Swaminathan, Morgan Cheatham, Mehr Kashyap, Nikesh Kotecha, Jonathan H Chen, Saurabh Gombar, Lance Downing, et al · 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
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The diagnostic and triage accuracy of the gpt-3 artificial intelligence model
David M Levine, Rudraksh Tuwani, Benjamin Kompa, Amita Varma, Samuel G Finlayson, Ateev Mehrotra, and Andrew Beam · 2023
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https://github.com/NVIDIA/NeMo-Guardrails
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Cited alongside, same era.
Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al · 2023
Cited alongside, same era.
Benefits, limits, and risks of gpt-4 as an ai chatbot for medicine
Peter Lee, Sebastien Bubeck, and Joseph Petro · 2023
Cited alongside, same era.
Assessing the potential of usmle-like exam questions generated by gpt-4
Scott L Fleming, Keith Morse, Aswathi M Kumar, Chia-Chun Chiang, Birju Patel, Emma P Brunskill, and Nigam Shah · 2023
Cited alongside, same era.
https://today.ucsd.edu/story/introducing-dr-chatbot
Introducing dr. chatbot
Cited in the paper.
Nemo-guardrails · 2023
Closest in time.
Clinical-t5: Large language models built using mimic clinical text, 2023
Eric Lehman and Alistair Johnson · 2023
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Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph C O’Brien, Carrie J Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein · 2023
Closest in time.
Auto-gpt for online decision making: Benchmarks and additional opinions
Hui Yang, Sifu Yue, and Yunzhong He · 2023
Closest in time.