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Users typically engage with LLMs interactively, yet most existing benchmarks evaluate them in a static, single-turn format, posing reliability concerns in interactive scenarios.
A cognitive perspective on medical expertise: theory and implication [published erratum appears in acad med 1992 apr; 67 (4): 287]
Henk G Schmidt, Geoffrey R Norman, and Henny P Boshuizen · 1990
Earlier work this paper cites.
On the role of biomedical knowledge in clinical reasoning by experts, intermediates and novices
Henny PA Boshuizen and Henk G Schmidt · 1992
Earlier work this paper cites.
Diagnostic reasoning and medical expertise
Vimla L Patel, José F Arocha, and David R Kaufman · 1994
Earlier work this paper cites.
Why did i miss the diagnosis? some cognitive explanations and educational implications
Georges Bordage · 1999
Earlier work this paper cites.
Rationality in medical decision making: a review of the literature on doctors’ decision-making biases
Brian H Bornstein and A Christine Emler · 2001
Earlier work this paper cites.
Research in clinical reasoning: past history and current trends
Geoffrey Norman · 2005
Earlier work this paper cites.
Artificial conversations for customer service chatter bots: Architecture, algorithms, and evaluation metrics
Chayan Chakrabarti and George F Luger · 2015
Earlier work this paper cites.
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Michael Trimble and Paul Hamilton · 2016
Earlier work this paper cites.
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He He, Derek Chen, Anusha Balakrishnan, and Percy Liang · 2018
Earlier work this paper cites.
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Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, and Xinghua Lu · 2019
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, and Peter Szolovits · 2021
Earlier work this paper cites.
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Earlier work this paper cites.
Few-shot self-rationalization with natural language prompts
Ana Marasović, Iz Beltagy, Doug Downey, and Matthew E Peters · 2021
Earlier work this paper cites.
Stanford crfm introduces pubmedgpt 2.7b, 2022
E. Bolton, D. Hall, M. Yasunaga, T. Lee, C. Manning, and P Liang · 2022
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Llama 2: Open foundation and fine-tuned chat models, 2023
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, and Thomas Scialom · 2023
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