Fetching the paper…
Reading the bibliography…
Recent studies have evaluated the creativity/novelty of large language models (LLMs) primarily from a semantic perspective, using benchmarks from cognitive science.
The associative basis of the creative process
Sarnoff Mednick. 1962 · 1962
Earlier work this paper cites.
Some new looks at the nature of creative processes
J Pv Guilford. 1964 · 1964
Earlier work this paper cites.
Modes of thinking in young children: A study of the creativity-intelligence distinction
Viola A Brody. 1966 · 1966
Earlier work this paper cites.
Remote associates test
Martha T Mednick and Sharon Halpern. 1968 · 1968
Earlier work this paper cites.
Social psychology of creativity: A consensual assessment technique
Teresa M Amabile. 1982 · 1982
Earlier work this paper cites.
A methodological study of the torrance tests of creativity
Robert W Lissitz and Joseph L Willhoft. 1985 · 1985
Earlier work this paper cites.
A scientific creativity test for secondary school students
Weiping Hu and Philip Adey. 2002 · 2002
Earlier work this paper cites.
Tldr: Extreme summarization of scientific documents
Isabel Cachola, Kyle Lo, Arman Cohan, and Daniel S. Weld. 2020 · 2004
Earlier work this paper cites.
Runco creativity assessment battery (rcab)
M.A. Runco. 2011 · 2011
Earlier work this paper cites.
The standard definition of creativity
Mark A Runco and Garrett J Jaeger. 2012 · 2012
Earlier work this paper cites.
Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2019 · 2019
Earlier work this paper cites.
Naming unrelated words predicts creativity
Jay A Olson, Johnny Nahas, Denis Chmoulevitch, Simon J Cropper, and Margaret E Webb. 2021 · 2021
Earlier work this paper cites.
Measuring novelty in science with word embedding
Sotaro Shibayama, Deyun Yin, and Kuniko Matsumoto. 2021 · 2021
Earlier work this paper cites.
Putting gpt-3’s creativity to the (alternative uses) test
Claire Stevenson, Iris Smal, Matthijs Baas, Raoul P. P. P. Grasman, and Han L. J. van der Maas. 2022 · 2022
Earlier work this paper cites.
Human preferences as dueling bandits
Xinyi Yan, Chengxi Luo, Charles L. A. Clarke, Nick Craswell, Ellen M. Voorhees, and Pablo Castells. 2022 · 2022
Cited alongside, same era.
Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, and Smaranda Muresan. 2023 · 2023
Cited alongside, same era.
Marked personas: Using natural language prompts to measure stereotypes in language models
Myra Cheng, Esin Durmus, and Dan Jurafsky. 2023 · 2023
Cited alongside, same era.
The originality of machines: Ai takes the torrance test
Erik E Guzik, Christian Byrge, and Christian Gilde. 2023 · 2023
Cited alongside, same era.
The semantic scholar open data platform
R. M. Kinney, C. Anastasiades, R. Authur, I. Beltagy, and et al. J. Bragg. 2023 · 2023
Cited alongside, same era.
Art or artifice? large language models and the false promise of creativity
Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, and Chien-Sheng Wu. 2024 · 2024
Closest in time.
Bias and unfairness in information retrieval systems: New challenges in the llm era
Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, and Jun Xu. 2024 · 2024
Closest in time.
Matthijs Douze, Alexandr Guzhva, Chengqi Deng, Jeff Johnson, Gergely Szilvasy, Pierre-Emmanuel Mazaré, Maria Lomeli, Lucas Hosseini, and Hervé Jégou. 2024 · 2024
Closest in time.
Improving factuality and reasoning in language models through multiagent debate
Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, and Igor Mordatch. 2024 · 2024
Closest in time.
Ai-based novelty detection in crowdsourced idea spaces
Julian Just, Thomas Ströhle, Johann Füller, and Katja Hutter. 2024 · 2024
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Automatic scoring of creative problem-solving with large language models: A comparison of originality and quality ratings
Simone Luchini, Nadine T Maliakkal, Paul V DiStefano, John D Patterson, Roger Beaty, and Roni Reiter-Palmon. 2023 · 2023
Cited alongside, same era.
OpenAI. 2023 · 2023
Cited alongside, same era.
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
Cited alongside, same era.
WikiBio: a semantic resource for the intersectional analysis of biographical events
Marco Antonio Stranisci, Rossana Damiano, Enrico Mensa, Viviana Patti, Daniele Radicioni, and Tommaso Caselli. 2023 · 2023
Cited alongside, same era.
Brainstorm, then select: a generative language model improves its creativity score
Douglas Summers-Stay, Clare R Voss, and Stephanie M Lukin. 2023 · 2023
Cited alongside, same era.
Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2023 · 2023
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou. 2023 · 2023
Cited alongside, same era.
Llmtest_needleinahaystack
Gregory Kamradt. 2023 · 2024
Closest in time.
Lost in the Middle: How Language Models Use Long Contexts
Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang. 2024 · 2024
Closest in time.
Li-Chun Lu, Shou-Jen Chen, Tsung-Min Pai, Chan-Hung Yu, Hung-yi Lee, and Shao-Hua Sun. 2024 · 2024
Closest in time.
Enhancing creativity in large language models through associative thinking strategies
Pronita Mehrotra, Aishni Parab, and Sumit Gulwani. 2024 · 2024
Closest in time.
The language of creativity: Evidence from humans and large language models
William Orwig, Emma R Edenbaum, Joshua D Greene, and Daniel L Schacter. 2024 · 2024
Closest in time.
Divergent creativity in humans and large language models
Antoine Bellemare Pépin, François Lespinasse, Philipp Thölke, Yann Harel, Kory Mathewson, Jay A. Olson, Yoshua Bengio, and Karim Jerbi. 2024 · 2024
Closest in time.
Self-reflection in llm agents: Effects on problem-solving performance
Matthew Renze and Erhan Guven. 2024 · 2024
Closest in time.
Can llms generate novel research ideas? a large-scale human study with 100+ nlp researchers
Chenglei Si, Diyi Yang, and Tatsunori Hashimoto. 2024 · 2024
Closest in time.
Assessing and understanding creativity in large language models
Yunpu Zhao, Rui Zhang, Wenyi Li, Di Huang, Jiaming Guo, Shaohui Peng, Yifan Hao, Yuanbo Wen, Xing Hu, Zidong Du, Qi Guo, Ling Li, and Yunji Chen. 2024 · 2024
Closest in time.