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In the field of natural language processing, the rapid development of large language model (LLM) has attracted more and more attention.
Torrance tests of creative thinking: Directions manual and scoring guide (Personnel Press, Incorporated, 1966)
Torrance, E. P · 1966
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Generalized self-efficacy scale
Schwarzer, R. & Jerusalem, M · 1995
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The big-five trait taxonomy: History, measurement, and theoretical perspectives (1999)
John, O. P., Srivastava, S. et al · 1999
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Guilford’s structure of intellect model and model of creativity: Contributions and limitations
Sternberg, R. J. & Grigorenko, E. L · 2001
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Can we trust creativity tests? a review of the torrance tests of creative thinking (ttct)
Kim, K. H · 2006
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New paradigms for assessing emotional intelligence: theory and data
MacCann, C. & Roberts, R. D · 2008
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The effect size of variables associated with creativity: A meta-analysis
Ma, H.-H · 2009
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The toronto empathy questionnaire: Scale development and initial validation of a factor-analytic solution to multiple empathy measures
Spreng*, R. N., McKinnon*, M. C., Mar, R. A. & Levine, B · 2009
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The apa 2009 division 10 debate: Are the torrance tests of creative thinking still relevant in the 21st century?
Kim, K. H · 2011
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The standard definition of creativity
Runco, M. A. & Jaeger, G. J · 2012
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Collaborative creativity—group creativity and team innovation
Paulus, P. B., Dzindolet, M. & Kohn, N. W · 2012
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Is the proof in the pudding? reanalyses of torrance’s (1958 to present) longitudinal data
Plucker, J. A · 2013
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Personal factors of creativity: A second order meta-analysis
Da Costa, S., Páez, D., Sánchez, F., Garaigordobil, M. & Gondim, S · 2015
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Bert: Pre-training of deep bidirectional transformers for language understanding
Kenton, J. D. M.-W. C. & Toutanova, L. K · 2019
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Creativity assessment: Pitfalls, solutions, and standards
Barbot, B. & Reiter-Palmon, R · 2019
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Divergent thinking: New methods, recent research, and extended theory
Acar, S. & Runco, M. A · 2019
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A scattered cat: A critical evaluation of the consensual assessment technique for creativity research
Cseh, G. M. & Jeffries, K. K · 2019
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Self-assessments of creativity: Not ideal, but better than you think
Kaufman, J. C · 2019
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Creativity assessment in psychological research:(re) setting the standards
Barbot, B., Hass, R. W. & Reiter-Palmon, R · 2019
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Computational creativity and music generation systems: An introduction to the state of the art
Carnovalini, F. & Rodà, A · 2020
Cited alongside, same era.
Transformers: State-of-the-art natural language processing
Wolf, T. et al · 2020
Cited alongside, same era.
Truthfulqa: Measuring how models mimic human falsehoods
Lin, S., Hilton, J. & Evans, O · 2021
Cited alongside, same era.
Creative collaboration and collaborative creativity: a systematic literature review
Barrett, M. S., Creech, A. & Zhukov, K · 2021
Cited alongside, same era.
Autoformalization with large language models
Wu, Y. et al · 2022
Cited alongside, same era.
The idea machine: Llm-based expansion, rewriting, combination, and suggestion of ideas
Judging the creative prowess of ai
Chakraborty, T. & Masud, S · 2023
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A survey on evaluation of large language models
Chang, Y. et al · 2023
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Probing the psychology of ai models
Shiffrin, R. & Mitchell, M · 2023
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On the creativity of large language models
Franceschelli, G. & Musolesi, M · 2023
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Brainstorm, then select: a generative language model improves its creativity score
Summers-Stay, D., Voss, C. R. & Lukin, S. M · 2023
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Di Fede, G., Rocchesso, D., Dow, S. P. & Andolina, S · 2022
Cited alongside, same era.
Competition-level code generation with alphacode
Li, Y. et al · 2022
Cited alongside, same era.
The idea machine: Llm-based expansion, rewriting, combination, and suggestion of ideas
Di Fede, G., Rocchesso, D., Dow, S. P. & Andolina, S · 2022
Cited alongside, same era.
Bailando: 3d dance generation by actor-critic gpt with choreographic memory
Siyao, L. et al · 2022
Cited alongside, same era.
A systematic evaluation of gpt-2-based music generation
Banar, B. & Colton, S · 2022
Cited alongside, same era.
Putting gpt-3’s creativity to the (alternative uses) test
Stevenson, C., Smal, I., Baas, M., Grasman, R. & van der Maas, H · 2022
Cited alongside, same era.
Large language models are zero-shot reasoners
Kojima, T., Gu, S. S., Reid, M., Matsuo, Y. & Iwasawa, Y · 2022
Cited alongside, same era.
Naeini, S., Saqur, R., Saeidi, M., Giorgi, J. & Taati, B · 2023
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The originality of machines: Ai takes the torrance test
Guzik, E. E., Byrge, C. & Gilde, C · 2023
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Benchmarking foundation models with language-model-as-an-examiner
Bai, Y. et al · 2023
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Judging llm-as-a-judge with mt-bench and chatbot arena
Zheng, L. et al · 2023
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Chateval: Towards better llm-based evaluators through multi-agent debate
Chan, C.-M. et al · 2023
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G-eval: Nlg evaluation using gpt-4 with better human alignment, may 2023
Liu, Y. et al · 2023
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Using large language models in psychology
Demszky, D., Yang, D., Yeager, D. S. et al · 2023
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Care-mi: chinese benchmark for misinformation evaluation in maternity and infant care
Xiang, T. et al · 2023
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On the tool manipulation capability of open-source large language models
Xu, Q. et al · 2023
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Palm-e: An embodied multimodal language model
Driess, D. et al · 2023
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Diffusion models in vision: A survey
Croitoru, F.-A., Hondru, V., Ionescu, R. T. & Shah, M · 2023
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A survey on large language model based autonomous agents
Wang, L. et al · 2023
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Bai, J. et al · 2023
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