Fetching the paper…
Reading the bibliography…
Exposure to large language model output is rapidly increasing.
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers and Iryna Gurevych. 2019 · 1908
Earlier work this paper cites.
The nature of human intelligence
J.P. Guilford. 1967 · 1967
Earlier work this paper cites.
Alternate uses
Joy Paul Guilford. 1978 · 1978
Earlier work this paper cites.
Social facilitation: A meta-analysis of 241 studies
Charles F. Bond and Linda J. Titus. 1983 · 1983
Earlier work this paper cites.
Culture and the Evolutionary Process
Robert Boyd and Peter J. Richerson. 1988 · 1988
Earlier work this paper cites.
Automation Bias, Accountability, and Verification Behaviors
Kathleen L. Mosier, Linda J. Skitka, Mark D. Burdick, and Susan T. Heers. 1996 · 1996
Earlier work this paper cites.
Making Group Brainstorming More Effective: Recommendations From an Associative Memory Perspective
Vincent R. Brown and Paul B. Paulus. 2002 · 2002
Earlier work this paper cites.
How the Group Affects the Mind: A Cognitive Model of Idea Generation in Groups
Bernard A. Nijstad and Wolfgang Stroebe. 2006 · 2006
Earlier work this paper cites.
Experimental study of inequality and unpredictability in an artificial cultural market
Matthew J. Salganik, Peter Sheridan Dodds, and Duncan J. Watts. 2006 · 2006
Earlier work this paper cites.
Toward More Creative and Innovative Group Idea Generation: A Cognitive-Social-Motivational Perspective of Brainstorming
Paul B. Paulus and Vincent R. Brown. 2007 · 2007
Earlier work this paper cites.
Modulation of aesthetic value by semantic context: An fMRI study
Ulrich Kirk, Martin Skov, Oliver Hulme, Mark S. Christensen, and Semir Zeki. 2009 · 2008
Earlier work this paper cites.
Not By Genes Alone: How Culture Transformed Human Evolution
Peter J. Richerson and Robert Boyd. 2008 · 2008
Earlier work this paper cites.
Permutation Tests for Studying Classifier Performance. In 2009 Ninth IEEE International Conference on Data Mining . IEEE, Miami Beach, FL, USA, 908–913
Markus Ojala and Gemma C. Garriga. 2009 · 2009
Earlier work this paper cites.
Web-Based Experiments for the Study of Collective Social Dynamics in Cultural Markets
Matthew J. Salganik and Duncan J. Watts. 2009 · 2009
Earlier work this paper cites.
Crowdsourcing Creativity: Combining Ideas in Networks
J. Nickerson and Yasuaki Sakamoto. 2010 · 2010
Earlier work this paper cites.
Cooks or cobblers? crowd creativity through combination. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’11) . Association for Computing Machinery, New York, NY, USA, 1393–1402
Lixiu Yu and Jeffrey V. Nickerson. 2011 · 2011
Earlier work this paper cites.
An internet-scale idea generation system
Lixiu Yu and Jeffrey V. Nickerson. 2013 · 2013
Earlier work this paper cites.
Automation bias: Empirical results assessing influencing factors
Kate Goddard, Abdul Roudsari, and Jeremy C. Wyatt. 2014 · 2014
Earlier work this paper cites.
LabintheWild: Conducting Large-Scale Online Experiments With Uncompensated Samples. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW ’15) . Association for Computing Machinery, New York, NY, USA, 1364–1378
Katharina Reinecke and Krzysztof Z. Gajos. 2015 · 2015
Earlier work this paper cites.
Toward Collaborative Ideation at Scale: Leveraging Ideas from Others to Generate More Creative and Diverse Ideas
Pao Siangliulue, Kenneth C. Arnold, Krzysztof Z. Gajos, and Steven P. Dow. 2015 · 2015
Earlier work this paper cites.
Gender and creativity: an overview of psychological and neuroscientific literature
Anna Abraham. 2016 · 2016
Earlier work this paper cites.
Handbook of Research on Leadership and Creativity
Michael D. Mumford and Sven Hemlin. 2017 · 2017
Earlier work this paper cites.
Should AI Always Identify Itself? It’s More Complicated Than You Might Think
Jamie Williams. 2018 · 2018
Earlier work this paper cites.
Metaphoria: An Algorithmic Companion for Metaphor Creation. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems . ACM, Glasgow Scotland Uk, 1–12
Katy Ilonka Gero and Lydia B. Chilton. 2019 · 2019
Earlier work this paper cites.
The Artist in the Machine: The World of AI-Powered Creativity
Arthur I. Miller. 2019 · 2019
Earlier work this paper cites.
How to do better with gender on surveys: a guide for HCI researchers
Katta Spiel, Oliver L. Haimson, and Danielle Lottridge. 2019 · 2019
Earlier work this paper cites.
A Dynamic Definition of Creativity
Chetan Walia. 2019 · 2019
Earlier work this paper cites.
How Novelists Use Generative Language Models: An Exploratory User Study.. In HAI-GEN+ user2agent@ IUI
Alex Calderwood, Vivian Qiu, Katy Ilonka Gero, and Lydia B Chilton. 2020 · 2020
Earlier work this paper cites.
AI-Mediated Communication: Definition, Research Agenda, and Ethical Considerations
Jeffrey T Hancock, Mor Naaman, and Karen Levy. 2020 · 2020
Cited alongside, same era.
Heteroglossia: In-Situ Story Ideation with the Crowd. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20) . Association for Computing Machinery, New York, NY, USA, 1–12
Chieh-Yang Huang, Shih-Hong Huang, and Ting-Hao Kenneth Huang. 2020 · 2020
Cited alongside, same era.
Coming to Terms: Automatic Formation of Neologisms in Hebrew. In Findings of the Association for Computational Linguistics: EMNLP 2020 . Association for Computational Linguistics, Online, 4918–4929
Moran Mizrahi, Stav Yardeni Seelig, and Dafna Shahaf. 2020 · 2020
Cited alongside, same era.
Cues to gender and racial identity reduce creativity in diverse social networks
Raiyan Abdul Baten, Richard N. Aslin, Gourab Ghoshal, and Ehsan Hoque. 2021 · 2021
Cited alongside, same era.
Automating creativity assessment with SemDis: An open platform for computing semantic distance
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
Fabrizio Dell’Acqua, Edward McFowland III, Ethan R. Mollick, Hila Lifshitz-Assaf, Katherine Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. 2023 · 2023
Later among the works it cites.
How Generative AI Can Augment Human Creativity
Tojin T. Eapen, Daniel J. Finkenstadt, Josh Folk, and Lokesh Venkataswamy. 2023 · 2023
Later among the works it cites.
AI and the Writer: How Language Models Support Creative Writers
Katy Ilonka Gero. 2023 · 2023
Later among the works it cites.
The originality of machines: AI takes the Torrance Test
Erik E. Guzik, Christian Byrge, and Christian Gilde. 2023 · 2023
Later among the works it cites.
ChatGPT sets record for fastest-growing user base - analyst note
Krystal Hu. 2023 · 2023
Later among the works it cites.
Will Chatgpt Kill Your Creativity?
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Roger E. Beaty and Dan R. Johnson. 2021 · 2021
Cited alongside, same era.
Forward flow and creative thought: Assessing associative cognition and its role in divergent thinking
Roger E. Beaty, Daniel C. Zeitlen, Brendan S. Baker, and Yoed N. Kenett. 2021 · 2021
Cited alongside, same era.
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’21) . Association for Computing Machinery, New York, NY, USA, 610–623
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
Cited alongside, same era.
Collaborative Storytelling with Human Actors and AI Narrators
Boyd Branch, Piotr Mirowski, and Kory W. Mathewson. 2021 · 2021
Cited alongside, same era.
Four Text-Mining Methods for Measuring Elaboration
Denis Dumas, Peter Organisciak, Shannon Maio, and Michael Doherty. 2021 · 2021
Cited alongside, same era.
IdeaBot: Investigating Social Facilitation in Human-Machine Team Creativity. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems . ACM, Yokohama Japan, 1–16
Angel Hsing-Chi Hwang and Andrea Stevenson Won. 2021 · 2021
Cited alongside, same era.
BunCho: AI Supported Story Co-Creation via Unsupervised Multitask Learning to Increase Writers’ Creativity in Japanese. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems . ACM, Yokohama Japan, 1–10
Hiroyuki Osone, Jun-Li Lu, and Yoichi Ochiai. 2021 · 2021
Cited alongside, same era.
Hybrid collective intelligence in a human–AI society
Marieke M. M. Peeters, Jurriaan van Diggelen, Karel van den Bosch, Adelbert Bronkhorst, Mark A. Neerincx, Jan Maarten Schraagen, and Stephan Raaijmakers. 2021 · 2021
Cited alongside, same era.
Krish Naik. 2023 · 2023
Later among the works it cites.
The Incredible Blandness of ChatGPT
Jasmine Mangalaseril. 2023 · 2023
Later among the works it cites.
Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry Professionals. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23) . Association for Computing Machinery, New York, NY, USA, 1–34
Piotr Mirowski, Kory W. Mathewson, Jaylen Pittman, and Richard Evans. 2023 · 2023
Later among the works it cites.
Public Awareness of Artificial Intelligence in Everyday Activities
Reem Nadeem. 2023 · 2023
Later among the works it cites.
Why Does ChatGPT Increase Creativity?
Nation World News. 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.
ChatGPT: Ushering in the Age of Creativity
European Business Review. 2023 · 2023
Later among the works it cites.
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, Pranav Ragupathy, and Thomas W. Malone. 2023 · 2023
Later among the works it cites.
The Curse of Recursion: Training on Generated Data Makes Models Forget
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Yarin Gal, Nicolas Papernot, and Ross Anderson. 2023 · 2023
Later among the works it cites.
86% of creators believe AI has a positive effect on creativity. ChatGPT offered its own opinions
Tubefilter. 2023 · 2023
Later among the works it cites.
Using Chat-GPT for Innovators: Enhancing Creativity and Innovation
Wilcot. 2023 · 2023
Later among the works it cites.
Automatic Assessment of Divergent Thinking in Chinese Language with TransDis: A Transformer-Based Language Model Approach
Tianchen Yang, Qifan Zhang, Zhaoyang Sun, and Yubo Hou. 2023 · 2023
Later among the works it cites.
A MAD method to assess idea novelty: Improving validity of automatic scoring using maximum associative distance (MAD)
Yuhua Yu, Roger E. Beaty, Boris Forthmann, Mark Beeman, John Henry Cruz, and Dan Johnson. 2023 · 2023
Later among the works it cites.
Homogenization Effects of Large Language Models on Human Creative Ideation. In Creativity and Cognition . ACM, Chicago IL USA, 413–425
Barrett R Anderson, Jash Hemant Shah, and Max Kreminski. 2024 · 2024
Closest in time.
How large language models can reshape collective intelligence
Jason W. Burton, Ezequiel Lopez-Lopez, Shahar Hechtlinger, Zoe Rahwan, Samuel Aeschbach, Michiel A. Bakker, Joshua A. Becker, Aleks Berditchevskaia, Julian Berger, Levin Brinkmann, Lucie Flek, Stefan M. Herzog, Saffron Huang, Sayash Kapoor, Arvind Narayanan, Anne-Marie Nussberger, Taha Yasseri, Pietro Nickl, Abdullah Almaatouq, Ulrike Hahn, Ralf H. J. M. Kurvers, Susan Leavy, Iyad Rahwan, Divya Siddarth, Alice Siu, Anita W. Woolley, Dirk U. Wulff, and Ralph Hertwig. 2024 · 2024
Closest in time.
AI-enhanced collective intelligence
Hao Cui and Taha Yasseri. 2024 · 2024
Closest in time.
Generative artificial intelligence enhances creativity but reduces the diversity of novel content
Anil R. Doshi and Oliver P. Hauser. 2024 · 2024
Closest in time.
ChatGPT creators OpenAI are generating 100 billion words per day, CEO says
Andrew Griffin. 2024 · 2024
Closest in time.
Does Writing with Language Models Reduce Content Diversity?
Vishakh Padmakumar and He He. 2024 · 2024
Closest in time.
Plurals: A System for Guiding LLMs via Simulated Social Ensembles. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI ’25) . Association for Computing Machinery, New York, NY, USA, 1–21
Joshua Ashkinaze, Emily Fry, Narendra Edara, Eric Gilbert, and Ceren Budak. 2025 · 2025
Closest in time.
Large AI models are cultural and social technologies
Henry Farrell, Alison Gopnik, Cosma Shalizi, and James Evans. 2025 · 2025
Closest in time.
IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI ’25) . Association for Computing Machinery, New York, NY, USA, 1–31
Kevin Pu, K. J. Kevin Feng, Tovi Grossman, Tom Hope, Bhavana Dalvi Mishra, Matt Latzke, Jonathan Bragg, Joseph Chee Chang, and Pao Siangliulue. 2025 · 2025
Closest in time.