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Hypothesis generation is a fundamental step in scientific discovery, yet it is increasingly challenged by information overload and disciplinary fragmentation.
The Logic of Scientific Discovery
Karl R. Popper · 1959
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Using arrowsmith: a computer-assisted approach to formulating and assessing scientific hypotheses
Neil R Smalheiser and Don R Swanson · 1998
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Medical Subject Headings (MeSH)
C.E. Lipscomb · 2000
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Latent dirichlet allocation
David M. Blei, Andrew Y. Ng, and Michael I. Jordan · 2003
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Statistical modeling: The two cultures
Leo Breiman · 2003
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The knowledge-creating company
Ikujiro Nonaka · 2009
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Automated cognome construction and semi-automated hypothesis generation
Jessica B. Voytek and Bradley Voytek · 2012
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Diseaseconnect: a comprehensive web server for mechanism-based disease–disease connections
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Automated hypothesis generation based on mining scientific literature
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Rediscovering don swanson: The past, present and future of literature-based discovery
Neil R Smalheiser · 2017
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Moliere: Automatic biomedical hypothesis generation system, 2017
Justin Sybrandt, Michael Shtutman, and Ilya Safro · 2017
Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam M. Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier García, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Díaz, Orhan Firat, Michele Catasta, Jason Wei, Kathleen S. Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, and Noah Fiedel · 2022
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2023
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Albert Qiaochu Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, L’elio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed · 2023
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Improving language understanding by generative pre-training
Alec Radford and Karthik Narasimhan · 2018
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Fish oil, raynaud’s syndrome, and undiscovered public knowledge
Don R Swanson
Cited in the paper.
Undiscovered public knowledge
Don R Swanson
Cited in the paper.
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurélien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample · 2023
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Automating psychological hypothesis generation with ai: when large language models meet causal graph
Song Tong, Kai Mao, Zhen Huang, Yukun Zhao, and Kaiping Peng · 2024
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Improving scientific hypothesis generation with knowledge grounded large language models, 2024
Guangzhi Xiong, Eric Xie, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, and Aidong Zhang · 2024
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