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Recent investigations show that large language models (LLMs), specifically GPT-4, not only have remarkable capabilities in common Natural Language Processing (NLP) tasks but also exhibit human-level performance on various professional and academic benchmarks.
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Training data leakage analysis in language models
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What disease does this patient have? a large-scale open domain question answering dataset from medical exams
A Bibliometric Review of Large Language Models Research from 2017 to 2023
Lizhou Fan, Lingyao Li, Zihui Ma, Sanggyu Lee, Huizi Yu, and Libby Hemphill. 2023 · 2023
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Will ChatGPT/GPT-4 be a lighthouse to guide spinal surgeons?
Yongbin He, Haifeng Tang, Dongxue Wang, Shuqin Gu, Guoxin Ni, and Haiyang Wu. 2023 · 2023
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Evaluating gpt-4 and chatgpt on japanese medical licensing examinations
Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, Yutaro Yamada, and Dragomir Radev. 2023 · 2023
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Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
Tiffany H Kung, Morgan Cheatham, Arielle Medenilla, Czarina Sillos, Lorie De Leon, Camille Elepaño, Maria Madriaga, Rimel Aggabao, Giezel Diaz-Candido, James Maningo, et al · 2023
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Benefits, limits, and risks of GPT-4 as an AI Chatbot for medicine
Peter Lee, Sebastien Bubeck, and Joseph Petro. 2023 · 2023
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Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, and Peter Szolovits. 2021 · 2021
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Prediction of future Alzheimer’s disease dementia using plasma phospho-tau combined with other accessible measures
Sebastian Palmqvist, Pontus Tideman, Nicholas Cullen, Henrik Zetterberg, Kaj Blennow, Jeffery L Dage, Erik Stomrud, Shorena Janelidze, Niklas Mattsson-Carlgren, and Oskar Hansson. 2021 · 2021
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Scalable Rule-Based Representation Learning for Interpretable Classification. In Thirty-Fifth Conference on Neural Information Processing Systems
Zhuo Wang, Wei Zhang, Ning Liu, and Jianyong Wang. 2021 · 2021
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MedMCQA: A large-scale multi-subject multi-choice dataset for medical domain question answering. In Conference on Health, Inference, and Learning . PMLR, 248–260
Ankit Pal, Logesh Kumar Umapathi, and Malaikannan Sankarasubbu. 2022 · 2022
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Random Forest Model in the Diagnosis of Dementia Patients with Normal Mini-Mental State Examination Scores
Jie Wang, Zhuo Wang, Ning Liu, Caiyan Liu, Chenhui Mao, Liling Dong, Jie Li, Xinying Huang, Dan Lei, Shanshan Chu, et al · 2022
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Learning Cognitive-Test-Based Interpretable Rules for Prediction and Early Diagnosis of Dementia Using Neural Networks
Zhuo Wang, Jie Wang, Ning Liu, Caiyan Liu, Xiuxing Li, Liling Dong, Rui Zhang, Chenhui Mao, Zhichao Duan, Wei Zhang, et al · 2022
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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
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Capabilities of gpt-4 on medical challenge problems
Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan, and Eric Horvitz. 2023 · 2023
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OpenAI. 2023 · 2023
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"Correct answers" from the psychology of artificial intelligence
Peter S. Park, Philipp Schoenegger, and Chongyang Zhu. 2023 · 2023
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Application of GPT-4 to select next-step antidepressant treatment in major depression
Roy H Perlis. 2023 · 2023
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chatIPCC: Grounding Conversational AI in Climate Science
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Large Language Models for Business Process Management: Opportunities and Challenges
Maxim Vidgof, Stefan Bachhofner, and Jan Mendling. 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
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