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Large language models are transforming the creative process by offering unprecedented capabilities to algorithmically generate ideas.
Incubation of creative performance and specific associative priming
Martha T Mednick, Sarnoff A Mednick, and Edward V Mednick. 1964 · 1964
Earlier work this paper cites.
Creativity: Yesterday, today and tomorrow
Joy P Guilford. 1967 · 1967
Earlier work this paper cites.
Remote associates test
Martha T Mednick and Sharon Halpern. 1968 · 1968
Earlier work this paper cites.
Divergent thinking
Mark A Runco. 1991 · 1991
Earlier work this paper cites.
Normative data for 144 compound remote associate problems
Edward M Bowden and Mark Jung-Beeman. 2003 · 2003
Earlier work this paper cites.
Creativity and imagination
Berys Gaut. 2003 · 2003
Earlier work this paper cites.
Contributions of Processing Ability and Knowledge to Verbal Memory Tasks across the Adult Life-Span
Trey Hedden, Gary Lautenschlager, and Denise C. Park. 2005 · 2005
Earlier work this paper cites.
In praise of convergent thinking
Arthur Cropley. 2006 · 2006
Earlier work this paper cites.
Creativity in a nutshell
Margaret A Boden. 2007 · 2007
Earlier work this paper cites.
Divergent thinking: Strategies and executive involvement in generating novel uses for familiar objects
Kenneth J Gilhooly, Evridiki Fioratou, Susan H Anthony, and Victor Wynn. 2007 · 2007
Earlier work this paper cites.
Chapter seven. Poincaré’s ‘Delicate Sieve’: On creativity and constraints in the arts
Paisley Livingston. 2009 · 2009
Earlier work this paper cites.
Creativity and art: Three roads to surprise
Margaret A Boden. 2010 · 2010
Earlier work this paper cites.
Divergent thinking, creativity, and ideation
Mark A Runco et al · 2010
Earlier work this paper cites.
Bilingualism and creativity: Benefits in convergent thinking come with losses in divergent thinking
Bernhard Hommel, Lorenza S Colzato, Rico Fischer, and Ingrid K Christoffels. 2011 · 2011
Earlier work this paper cites.
Creative reasoning across developmental levels: Convergence and divergence in problem creation
Saskia Jaarsveld, Thomas Lachmann, and Cees Van Leeuwen. 2012 · 2012
Earlier work this paper cites.
Divergent thinking as an indicator of creative potential
Mark A Runco and Selcuk Acar. 2012 · 2012
Earlier work this paper cites.
Incubation and creativity: Do something different
Ken J Gilhooly, George Georgiou, and Ultan Devery. 2013 · 2013
Earlier work this paper cites.
Creativity and divergent thinking: A task-specific approach
John Baer. 2014 · 2014
Earlier work this paper cites.
A measure of creativity or intelligence? Examining internal and external structure validity evidence of the Remote Associates Test
Christine S Lee, Anne Corinne Huggins, and David J Therriault. 2014 · 2014
Earlier work this paper cites.
Conceptualizing Creativity: From Distributional Semantics to Conceptual Spaces.. In ICCC . 118–125
Kat Agres, Stephen McGregor, Matthew Purver, and Geraint A Wiggins. 2015 · 2015
Earlier work this paper cites.
On praising convergent thinking: Creativity as blind variation and selective retention
Dean Keith Simonton. 2015 · 2015
Earlier work this paper cites.
Linkographic evidence for concurrent divergent and convergent thinking in creative design
Gabriela Goldschmidt. 2016 · 2016
Cited alongside, same era.
CREATIVITY AND CONVERGENT THINKING: REFLECTIONS, CONNECTIONS AND PRACTICAL CONSIDERATIONS
Todd Lubart. 2016 · 2016
Cited alongside, same era.
The Effect of Language Ability in Creativity Assessment
Xinyi Wang. 2016 · 2016
Cited alongside, same era.
The SCAMPER technique
Olivier Serrat and Olivier Serrat. 2017 · 2017
Cited alongside, same era.
Effects of a daytime nap on primed and repeated remote associates tests and relations with divergent creativity
Ingegerd Carlsson, Per Davidson, and Marianne Ors. 2019 · 2019
Cited alongside, same era.
Re-examining prominent measures of divergent and convergent creativity
Robert A Cortes, Adam B Weinberger, Richard J Daker, and Adam E Green. 2019 · 2019
Best humans still outperform artificial intelligence in a creative divergent thinking task
Mika Koivisto and Simone Grassini. 2023 · 2023
Later among the works it cites.
Math Education with Large Language Models: Peril or Promise?
Harsh Kumar, David M Rothschild, Daniel G Goldstein, and Jake M Hofman. 2023 · 2023
Later among the works it cites.
Beyond semantic distance: automated scoring of divergent thinking greatly improves with large language models
Peter Organisciak, Selcuk Acar, Denis Dumas, and Kelly Berthiaume. 2023 · 2023
Later among the works it cites.
Does Writing with Language Models Reduce Content Diversity?
Vishakh Padmakumar and He He. 2023 · 2023
Later among the works it cites.
Comparing traditional and llm-based search for consumer choice: A randomized experiment
Sofia Eleni Spatharioti, David M Rothschild, Daniel G Goldstein, and Jake M Hofman. 2023 · 2023
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Scientific creativity: divergent and convergent thinking and the impact of culture
Herie B de Vries and Todd I Lubart. 2019 · 2019
Cited alongside, same era.
Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
Cited alongside, same era.
Convergent thinking moderates the relationship between divergent thinking and scientific creativity
Weili Zhu, Siyuan Shang, Weili Jiang, Meng Pei, and Yanjie Su. 2019 · 2019
Cited alongside, same era.
Divergent versus convergent thinking
Olga M Razumnikova. 2020 · 2020
Cited alongside, same era.
A systematic review of creativity-related studies applying the remote associates test from 2000 to 2019
Ching-Lin Wu, Shih-Yuan Huang, Pei-Zhen Chen, and Hsueh-Chih Chen. 2020 · 2020
Cited alongside, same era.
Metacontrol of human creativity: The neurocognitive mechanisms of convergent and divergent thinking
Weitao Zhang, Zsuzsika Sjoerds, and Bernhard Hommel. 2020 · 2020
Cited alongside, same era.
Later among the works it cites.
Sensecape: Enabling multilevel exploration and sensemaking with large language models. In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology . 1–18
Sangho Suh, Bryan Min, Srishti Palani, and Haijun Xia. 2023 · 2023
Later among the works it cites.
Homogenization effects of large language models on human creative ideation
Barrett R Anderson, Jash Hemant Shah, and Max Kreminski. 2024 · 2024
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Generative AI Can Harm Learning
Hamsa Bastani, Osbert Bastani, Alp Sungu, Haosen Ge, Ozge Kabakcı, and Rei Mariman. 2024 · 2024
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Art or artifice? large language models and the false promise of creativity. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–34
Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, and Chien-Sheng Wu. 2024 · 2024
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Generative AI enhances individual creativity but reduces the collective diversity of novel content
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Stacy Hsueh, Marianela Ciolfi Felice, Sarah Fdili Alaoui, and Wendy E Mackay. 2024 · 2024
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The current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks
Kent F Hubert, Kim N Awa, and Darya L Zabelina. 2024 · 2024
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Li-Chun Lu, Shou-Jen Chen, Tsung-Min Pai, Chan-Hung Yu, Hung-yi Lee, and Shao-Hua Sun. 2024a · 2024
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Hua Xuan Qin, Shan Jin, Ze Gao, Mingming Fan, and Pan Hui. 2024 · 2024
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Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
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