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We stand at the foot of a significant inflection in the trajectory of scientific discovery.
The structure of scientific revolutions , volume 111
Thomas S Kuhn · 1970
Earlier work this paper cites.
Fish oil, raynaud’s syndrome, and undiscovered public knowledge
D. R. Swanson · 1986
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Scientific discovery: Computational explorations of the creative processes
Pat Langley, Herbert A Simon, Gary L Bradshaw, and Jan M Zytkow · 1987
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The Lumiere project: Bayesian user modeling for inferring the goals and needs of software users
Eric J Horvitz, John S Breese, David Heckerman, David Hovel, and Koos Rommelse · 1998
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Principles of mixed-initiative user interfaces
Eric Horvitz · 1999
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Functional genomic hypothesis generation and experimentation by a robot scientist
Ross D King, Kenneth E Whelan, Ffion M Jones, Philip GK Reiser, Christopher H Bryant, Stephen H Muggleton, Douglas B Kell, and Stephen G Oliver · 2004
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Personalizing search via automated analysis of interests and activities
Jaime Teevan, Susan T Dumais, and Eric Horvitz · 2005
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The cognitive science of science: Explanation, discovery, and conceptual change
Paul Thagard · 2012
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Finding cultural holes: How structure and culture diverge in networks of scholarly communication
Daril A Vilhena, Jacob G Foster, Martin Rosvall, Jevin D West, James Evans, and Carl T Bergstrom · 2014
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How scientists fool themselves–and how they can stop
Regina Nuzzo et al · 2015
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Accelerating innovation through analogy mining
Tom Hope, Joel Chan, Aniket Kittur, and Dafna Shahaf · 2017
Earlier work this paper cites.
Solvent: A mixed initiative system for finding analogies between research papers
Joel Chan, Joseph Chee Chang, Tom Hope, Dafna Shahaf, and Aniket Kittur · 2018
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The challenge of crafting intelligible intelligence
Daniel S Weld and Gagan Bansal · 2019
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Scisight: Combining faceted navigation and research group detection for covid-19 exploratory scientific search
Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S Weld, Marti A Hearst, and Jevin West · 2020
Earlier work this paper cites.
S2ORC: The Semantic Scholar Open Research Corpus
Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, and Daniel S. Weld · 2020
Cited alongside, same era.
On biases of attention in scientific discovery
Uriel Singer, Kira Radinsky, and Eric Horvitz · 2020
Cited alongside, same era.
Interactive extractive search over biomedical corpora
Hillel Taub Tabib, Micah Shlain, Shoval Sadde, Dan Lahav, Matan Eyal, Yaara Cohen, and Yoav Goldberg · 2020
Cited alongside, same era.
Scico: Hierarchical cross-document coreference for scientific concepts
Arie Cattan, Sophie Johnson, Daniel Weld, Ido Dagan, Iz Beltagy, Doug Downey, and Tom Hope · 2021
Cited alongside, same era.
Slowed canonical progress in large fields of science
Johan SG Chu and James A Evans · 2021
Cited alongside, same era.
A critical review on altmetrics: can we measure the social impact factor?
Cristina García-Villar · 2021
Will AI write scientific papers in the future?
Yolanda Gil · 2022
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Scaling creative inspiration with fine-grained functional facets of product ideas
Tom Hope, Ronen Tamari, Hyeonsu Kang, Daniel Hershcovich, Joel Chan, Aniket Kittur, and Dafna Shahaf · 2022
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A search engine for discovery of scientific challenges and directions
D Lahav, JS Falcon, B Kuehl, S Johnson, S Parasa, N Shomron, DH Chau, D Yang, E Horvitz, DS Weld, and T Hope · 2022
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Accord: A multi-document approach to generating diverse descriptions of scientific concepts
Sonia Murthy, Kyle Lo, Chandra Bhagavatula, Daniel King, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, and Doug Downey · 2022
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Multi-vector models with textual guidance for fine-grained scientific document similarity
Sheshera Mysore, Arman Cohan, and Tom Hope · 2022
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Augmenting scientific papers with just-in-time, position-sensitive definitions of terms and symbols
Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, and Marti A. Hearst · 2021
Cited alongside, same era.
Extracting a knowledge base of mechanisms from covid-19 papers
Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel S Weld, Roy Schwartz, and Hannaneh Hajishirzi · 2021
Cited alongside, same era.
The future of biomedical informatics: Bottlenecks and opportunities
Eric Horvitz · 2021
Cited alongside, same era.
Highly accurate protein structure prediction with alphafold
John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko, et al · 2021
Cited alongside, same era.
What ever happened to ibm’s watson
Steve Lohr · 2021
Cited alongside, same era.
Understanding clinical trial reports: Extracting medical entities and their relations
Benjamin Nye, Jay DeYoung, Eric Lehman, Ani Nenkova, Iain J Marshall, and Byron C Wallace · 2021
Cited alongside, same era.
Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Lu Wang, and Tom Hope · 2022
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Bridger: Toward bursting scientific filter bubbles and boosting innovation via novel author discovery
Jason Portenoy, Marissa Radensky, Jevin West, Eric Horvitz, Daniel Weld, and Tom Hope · 2022
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Accelerating materials discovery using artificial intelligence, high performance computing and robotics
Edward O Pyzer-Knapp, Jed W Pitera, Peter WJ Staar, Seiji Takeda, Teodoro Laino, Daniel P Sanders, James Sexton, John R Smith, and Alessandro Curioni · 2022
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Situating search
Chirag Shah and Emily M Bender · 2022
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For watson, solving cancer wasn’t so elementary: Prospects for artificial intelligence in radiology
Aish Thamba and Richard B Gunderman · 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
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Gpt-4 technical report, 2023
OpenAI · 2023
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