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Hallucinations in large language models (LLMs) are always seen as limitations.
The associative basis of the creative process
Sarnoff A. Mednick · 1962
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Thinking creatively with sounds and words: Normstechnical manual
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Creativity in the classroom; what research says to the teacher
E Paul Torrance · 1977
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T. M. Amabile · 1982
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(un)structured creativity in information systems organizations
J. Daniel Couger, Lexis F. Higgins, and Scott C. McIntyre · 1993
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Psychological constraints on improvisational expertise and communication
Jeff Pressing · 1998
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Creativity, creative thinking, and critical thinking: In search of definitions
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Associative processing and paranormal belief
Lorena R. R. Gianotti, Christine Mohr, Diego A. Pizzagalli, Dietrich Lehmann, and Peter Brugger · 2001
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Cultural influences on artistic creativity and its evaluation
Weihua Niu and Robert J. Sternberg · 2001
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Improvisation: Methods and models
Jeff Pressing · 2007
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Assessing creativity with divergent thinking tasks: exploring the reliability and validity of new subjective scoring methods
Paul J Silvia, Beate Winterstein, John T Willse, Christopher M Barona, Joshua T Cram, Karl I Hess, Jenna L Martinez, and Crystal A Richard · 2008
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Beyond big and little: The four c model of creativity
James C. Kaufman and Ronald A. Beghetto · 2009
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Creating minds: An anatomy of creativity seen through the lives of Freud, Einstein, Picasso, Stravinsky, Eliot, Graham, and Ghandi
Howard Gardner · 2011
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A first look at the role of domain-general cognitive and creative abilities in jazz improvisation
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To create or to recall? neural mechanisms underlying the generation of creative new ideas
Mathias Benedek, Emanuel Jauk, Andreas Fink, Karl Koschutnig, Gernot Reishofer, Franz Ebner, and Aljoscha C Neubauer · 2014
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The importance of domain-specific expertise in creativity
John Baer · 2015
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The neuroscience of musical improvisation
Roger E Beaty · 2015
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Hierarchical reinforcement learning as creative problem solving
Thomas R Colin, Tony Belpaeme, Angelo Cangelosi, and Nikolas Hemion · 2016
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Creativity: A quarter century of progress
Joy Peter Guilford · 2017
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Remote associates test: An empirical proof of concept
Martin Marko, Drahomr Michalko, and Igor Rievcansky · 2018
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Neural path hunter: Reducing hallucination in dialogue systems via path grounding
Nouha Dziri, Andrea Madotto, Osmar Zaïane, and Avishek Joey Bose · 2021
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Naming unrelated words predicts creativity
Jay A. Olson, Johnny Nahas, Denis Chmoulevitch, Simon J. Cropper, and Margaret E. Webb · 2021
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TruthfulQA: Measuring how models mimic human falsehoods
Stephanie Lin, Jacob Hilton, and Owain Evans · 2022
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Putting gpt-3’s creativity to the alternative uses test, 2022
Claire Stevenson, Iris Smal, Matthijs Baas, Raoul Grasman, and Han van Maas · 2022
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Can knowledge graphs reduce hallucinations in llms?: A survey
Garima Agrawal, Tharindu Kumarage, Zeyad Alghami, and Huan Liu · 2023
A survey of hallucination in large foundation models
Vipula Rawte, Amit Sheth, and Amitava Das · 2023
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Supermind ideator: Exploring generative ai to support creative problem-solving
Steven R Rick, Gianni Giacomelli, Haoran Wen, Robert J Laubacher, Nancy Taubenslag, Jennifer L Heyman, Max Sina Knicker, Younes Jeddi, Hendrik Maier, Stephen Dwyer, et al · 2023
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A world without ai is becoming unthinkable, 2023
Salesforce · 2023
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Hallucination mitigation in natural language generation from large-scale open-domain knowledge graphs
Xiao Shi, Zhengyuan Zhu, Zeyu Zhang, and Chengkai Li · 2023
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Brainstorm, then select: a generative language model improves its creativity score
Douglas Summers-Stay, Clare R Voss, and Stephanie M Lukin · 2023
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Think-on-graph: Deep and responsible reasoning of large language model with knowledge graph
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Chateval: Towards better llm-based evaluators through multi-agent debate
Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, and Zhiyuan Liu · 2023
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Is artificial intelligence more creative than humans? : Chatgpt and the divergent association task
David Cropley · 2023
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Pushing gpt’s creativity to its limits: Alternative uses and torrance tests
Luis Fabricio Góes, Marco Volpe, Piotr Sawicki, Marek Grses, and Jacob Watson · 2023
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The originality of machines: Ai takes the torrance test
Erik E. Guzik, Christian Byrge, and Christian Gilde · 2023
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A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions
Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, et al · 2023
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Artificial intelligence is more creative than humans: A cognitive science perspective on the current state of generative language models
Kent Hubert, Kim N Awa, and Darya Zabelina · 2023
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Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Heung-Yeung Shum, and Jian Guo · 2023
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Macgyver: Are large language models creative problem solvers?
Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L Griffiths, and Faeze Brahman · 2023
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Llama: Open and efficient foundation language models
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Med-halt: Medical domain hallucination test for large language models
Logesh Kumar Umapathi, Ankit Pal, and Malaikannan Sankarasubbu · 2023
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Is a fool with a (n ai) tool still a fool? an empirical study of the creative quality of human–ai collaboration
Sebastian Weber, Bastian Kordyaka, Raphael Palombo, Dominik Siemon, and Bjoern Niehaves · 2023
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Hongbin Ye, Tong Liu, Aijia Zhang, Wei Hua, and Weiqiang Jia · 2023
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Creative agents: Empowering agents with imagination for creative tasks
Chi Zhang, Penglin Cai, Yuhui Fu, Haoqi Yuan, and Zongqing Lu · 2023
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Siren’s song in the ai ocean: A survey on hallucination in large language models
Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, et al · 2023
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User-controlled knowledge fusion in large language models: Balancing creativity and hallucination
Chen Zhang · 2023
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A comprehensive survey of hallucination mitigation techniques in large language models
SM Tonmoy, SM Zaman, Vinija Jain, Anku Rani, Vipula Rawte, Aman Chadha, and Amitava Das · 2024
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Lighthouse: A survey of agi hallucination
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Assessing and understanding creativity in large language models
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