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The rapid growth of biomedical knowledge has outpaced our ability to efficiently extract insights and generate novel hypotheses.
Q-learning
Christopher JCH Watkins and Peter Dayan · 1992
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
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Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton · 2008
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Jointly measuring diversity and quality in text generation models
Danial Alihosseini, Ehsan Montahaei, and Mahdieh Soleymani Baghshah · 2019
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Measuring massive multitask language understanding
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt · 2020
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WebGPT: Browser-assisted question-answering with human feedback, June 2022
Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, Xu Jiang, Karl Cobbe, Tyna Eloundou, Gretchen Krueger, Kevin Button, Matthew Knight, Benjamin Chess, and John Schulman · 2022
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TALM: Tool Augmented Language Models, May 2022
Aaron Parisi, Yao Zhao, and Noah Fiedel · 2022
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Galactica: A large language model for science
Ross Taylor, Marcin Kardas, Guillem Cucurull, Thomas Scialom, Anthony Hartshorn, Elvis Saravia, Andrew Poulton, Viktor Kerkez, and Robert Stojnic · 2022
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Self-instruct: Aligning language model with self generated instructions
Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A Smith, Daniel Khashabi, and Hannaneh Hajishirzi · 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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Emergent autonomous scientific research capabilities of large language models
Daniil A Boiko, Robert MacKnight, and Gabe Gomes · 2023
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ChemCrow: Augmenting large-language models with chemistry tools, June 2023
Andres M. Bran, Sam Cox, Andrew D. White, and Philippe Schwaller · 2023
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The Life Cycle of Knowledge in Big Language Models: A Survey, March 2023
Boxi Cao, Hongyu Lin, Xianpei Han, and Le Sun · 2023
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New Mechanical Markers for Tracking the Progression of Myocardial Infarction
Zhuo Chang, Jing Zhang, Yilun Liu, Huajian Gao, and Guang-Kui Xu · 2023
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Empowering Private Tutoring by Chaining Large Language Models, September 2023
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Fabrizio Gilardi, Meysam Alizadeh, and Maël Kubli · 2023
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Shishir G. Patil, Tianjun Zhang, Xin Wang, and Joseph E. Gonzalez · 2023
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A Survey of Hallucination in Large Foundation Models, September 2023
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HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face, May 2023
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Ran Gong, Qiuyuan Huang, Xiaojian Ma, Hoi Vo, Zane Durante, Yusuke Noda, Zilong Zheng, Song-Chun Zhu, Demetri Terzopoulos, Li Fei-Fei, and Jianfeng Gao · 2023
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Medalpaca–an open-source collection of medical conversational ai models and training data
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Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, Longyue Wang, Anh Tuan Luu, Wei Bi, Freda Shi, and Shuming Shi · 2023
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Goal driven discovery of distributional differences via language descriptions
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Don’t make your llm an evaluation benchmark cheater
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Xuekai Zhu, Biqing Qi, Kaiyan Zhang, Xingwei Long, and Bowen Zhou · 2023
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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
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Ultramedical: Building specialized generalists in biomedicine
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