Fetching the paper…
Reading the bibliography…
Creativity serves as a cornerstone for societal progress and innovation.
Language models are few-shot learners
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al. (2020) · 1901
Earlier work this paper cites.
Plug and play language models: A simple approach to controlled text generation
Dathathri, S., Madotto, A., Lan, J., Hung, J., Frank, E., Molino, P., Yosinski, J., and Liu, R. (2019) · 1912
Earlier work this paper cites.
Probability inequalities for sums of bounded random variables
Hoeffding, W. (1963) · 1963
Earlier work this paper cites.
Creativity and innovation in organizations
Amabile, T. M. (1996) · 1996
Earlier work this paper cites.
Creativity, Creative Thinking, and Critical Thinking: In Search of Definitions
Treffinger, D. J. (1996) · 1996
Earlier work this paper cites.
Creating Creativity: 101 Definitions (what Webster Never Told You)
Aleinikov, A. G., Kackmeister, S., and Koenig, R. (2000) · 2000
Earlier work this paper cites.
Rademacher and gaussian complexities: Risk bounds and structural results
Bartlett, P. L. and Mendelson, S. (2002) · 2002
Earlier work this paper cites.
A probabilistic formulation of unsupervised text style transfer
He, J., Wang, X., Neubig, G., and Berg-Kirkpatrick, T. (2020) · 2002
Earlier work this paper cites.
The Creative Mind: Myths and Mechanisms
Boden, M. A. (2003) · 2003
Earlier work this paper cites.
Creativity and artificial intelligence: a conceptual blending approach
Câmara Pereira, F. (2007) · 2007
Earlier work this paper cites.
Computing machinery and intelligence
Turing, A. M. (2009) · 2009
Earlier work this paper cites.
A monolingual tree-based translation model for sentence simplification
Zhu, Z., Bernhard, D., and Gurevych, I. (2010) · 2010
Earlier work this paper cites.
Foundations of machine learning
Mohri, M., Rostamizadeh, A., and Talwalkar, A. (2012) · 2012
Earlier work this paper cites.
The standard definition of creativity
Runco, M. A. and Jaeger, G. J. (2012) · 2012
Earlier work this paper cites.
Extending sociocultural theory to group creativity
Sawyer, K. (2012) · 2012
Earlier work this paper cites.
Robustness and generalization
Xu, H. and Mannor, S. (2012) · 2012
Earlier work this paper cites.
Paraphrasing for style
Xu, W., Ritter, A., Dolan, W. B., Grishman, R., and Cherry, C. (2012b) · 2012
Earlier work this paper cites.
Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach
Schwartz, H. A., Eichstaedt, J. C., Kern, M. L., Dziurzynski, L., Ramones, S. M., Agrawal, M., Shah, A., Kosinski, M., Stillwell, D., Seligman, M. E. P., and Ungar, L. H. (2013) · 2013
Earlier work this paper cites.
Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y. (2014) · 2014
Earlier work this paper cites.
Understanding machine learning: From theory to algorithms
Shalev-Shwartz, S. and Ben-David, S. (2014) · 2014
Earlier work this paper cites.
Demographic Factors Improve Classification Performance
Hovy, D. (2015) · 2015
Cited alongside, same era.
Four PPPPerspectives on Computational Creativity in Theory and in Practice
Jordanous, A. (2016) · 2016
Cited alongside, same era.
Exquimo: An exquisite corpse tool for co-creative 3d shape modeling
Ranaweera, W. L. (2016) · 2016
Cited alongside, same era.
Controlling politeness in neural machine translation via side constraints
Sennrich, R., Haddow, B., and Birch, A. (2016) · 2016
Cited alongside, same era.
Elgammal, A., Liu, B., Elhoseiny, M., and Mazzone, M. (2017) · 2017
Cited alongside, same era.
Evaluating prose style transfer with the bible
Olá, bonjour, salve! XFORMAL: A benchmark for multilingual formality style transfer
Briakou, E., Lu, D., Zhang, K., and Tetreault, J. (2021) · 2021
Later among the works it cites.
Creative sketch generation
Ge, S., Goswami, V., Zitnick, L., and Parikh, D. (2021) · 2021
Later among the works it cites.
Highly accurate protein structure prediction with alphafold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · 2021
Later among the works it cites.
Mitigating political bias in language models through reinforced calibration
Liu, R., Jia, C., Wei, J., Xu, G., Wang, L., and Vosoughi, S. (2021) · 2021
Later among the works it cites.
High-resolution image synthesis with latent diffusion models
Rombach, R., Blattmann, A., Lorenz, D., Esser, P., and Ommer, B. (2021) · 2021
Later among the works it cites.
On the opportunities and risks of foundation models
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Carlson, K., Riddell, A., and Rockmore, D. (2018) · 2018
Cited alongside, same era.
Size-independent sample complexity of neural networks
Golowich, N., Rakhlin, A., and Shamir, O. (2018) · 2018
Cited alongside, same era.
Can computers create art?
Hertzmann, A. (2018) · 2018
Cited alongside, same era.
Style transfer through back-translation
Prabhumoye, S., Tsvetkov, Y., Salakhutdinov, R., and Black, A. W. (2018) · 2018
Cited alongside, same era.
Dear sir or madam, may I introduce the GYAFC dataset: Corpus, benchmarks and metrics for formality style transfer
Rao, S. and Tetreault, J. (2018) · 2018
Cited alongside, same era.
Design: Design inspiration from generative networks
Sbai, O., Elhoseiny, M., Bordes, A., LeCun, Y., and Couprie, C. (2018) · 2018
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2019) · 2019
Cited alongside, same era.
Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., Brynjolfsson, E., Buch, S., Card, D., Castellon, R., Chatterji, N., Chen, A., Creel, K., Davis, J. Q., Demszky, D., Donahue, C., Doumbouya, M., Durmus, E., Ermon, S., Etchemendy, J., Ethayarajh, K., Fei-Fei, L., Finn, C., Gale, T., Gillespie, L., Goel, K., Goodman, N., Grossman, S., Guha, N., Hashimoto, T., Henderson, P., Hewitt, J., Ho, D. E., Hong, J., Hsu, K., Huang, J., Icard, T., Jain, S., Jurafsky, D., Kalluri, P., Karamcheti, S., Keeling, G., Khani, F., Khattab, O., Koh, P. W., Krass, M., Krishna, R., Kuditipudi, R., Kumar, A., Ladhak, F., Lee, M., Lee, T., Leskovec, J., Levent, I., Li, X. L., Li, X., Ma, T., Malik, A., Manning, C. D., Mirchandani, S., Mitchell, E., Munyikwa, Z., Nair, S., Narayan, A., Narayanan, D., Newman, B., Nie, A., Niebles, J. C., Nilforoshan, H., Nyarko, J., Ogut, G., Orr, L., Papadimitriou, I., Park, J. S., Piech, C., Portelance, E., Potts, C., Raghunathan, A., Reich, R., Ren, H., Rong, F., Roohani, Y., Ruiz, C., Ryan, J., Ré, C., Sadigh, D., Sagawa, S., Santhanam, K., Shih, A., Srinivasan, K., Tamkin, A., Taori, R., Thomas, A. W., Tramèr, F., Wang, R. E., Wang, W., Wu, B., Wu, J., Wu, Y., Xie, S. M., Yasunaga, M., You, J., Zaharia, M., Zhang, M., Zhang, T., Zhang, X., Zhang, Y., Zheng, L., Zhou, K., and Liang, P. (2022) · 2022
Later among the works it cites.
Generative deep learning
Foster, D. (2022) · 2022
Later among the works it cites.
Deep Learning for Text Style Transfer: A Survey
Jin, D., Jin, Z., Hu, Z., Vechtomova, O., and Mihalcea, R. (2022) · 2022
Later among the works it cites.
Countergedi: A controllable approach to generate polite, detoxified and emotional counterspeech
Saha, P., Singh, K., Kumar, A., Mathew, B., and Mukherjee, A. (2022) · 2022
Later among the works it cites.
Using a knowledge base to automatically annotate speech corpora and to identify sociolinguistic variation
Wu, Y., Suchanek, F., Vasilescu, I., Lamel, L., and Adda-Decker, M. (2022) · 2022
Later among the works it cites.
On the creativity of large language models
Franceschelli, G. and Musolesi, M. (2023) · 2023
Later among the works it cites.
How does information bottleneck help deep learning?
Kawaguchi, K., Deng, Z., Ji, X., and Huang, J. (2023) · 2023
Later among the works it cites.
Can ai demonstrate creativity?
Kirkpatrick, K. (2023) · 2023
Later among the works it cites.
Gpt-4 technical report
OpenAI (2023) · 2023
Later among the works it cites.
Diffusion art or digital forgery? investigating data replication in diffusion models
Somepalli, G., Singla, V., Goldblum, M., Geiping, J., and Goldstein, T. (2023) · 2023
Later among the works it cites.
M.b.a. students vs. chatgpt: Who comes up with more innovative ideas?
Terwiesch, C. and Ulrich, K. (2023) · 2023
Later among the works it cites.
Llama: Open and efficient foundation language models
Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M.-A., Lacroix, T., Rozière, B., Goyal, N., Hambro, E., Azhar, F., Rodriguez, A., Joulin, A., Grave, E., and Lample, G. (2023) · 2023
Later among the works it cites.
Concept decomposition for visual exploration and inspiration
Vinker, Y., Voynov, A., Cohen-Or, D., and Shamir, A. (2023) · 2023
Later among the works it cites.
A survey of large language models
Zhao, W. X., Zhou, K., Li, J., Tang, T., Wang, X., Hou, Y., Min, Y., Zhang, B., Zhang, J., Dong, Z., Du, Y., Yang, C., Chen, Y., Chen, Z., Jiang, J., Ren, R., Li, Y., Tang, X., Liu, Z., Liu, P., Nie, J., and rong Wen, J. (2023) · 2023
Later among the works it cites.