[39] Richard P Taylor, Adam P Micolich, and David Jonas. Fractal analysis of pollock's drip paintings. Nature, 399(6735):422-422, 1999.
[40] Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko. End-to-end object detection with transformers. In Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part I 16, pages 213-229. Springer, 2020.
[41] Yanghao Li, Hanzi Mao, Ross Girshick, and Kaiming He. Exploring plain vision transformer backbones for object detection. arXiv preprint arXiv:2203.16527, 2022.
[42] Nudenet. https://github.com/notAI-tech/NudeNet.
[43] Dreamlike diffusion 1.0. https://huggingface.co/dreamlike-art/ dreamlike-diffusion-1.0..
[44] Dreamlike photoreal 2.0. https://huggingface.co/dreamlike-art/ dreamlike-photoreal-2.0..
[45] Openjourney. https://huggingface.co/prompthero/openjourney..
[46] Openjourney-v4. https://huggingface.co/prompthero/openjourney-v4,.
[47] Redshift diffusion. https://huggingface.co/nitrosocke/redshift-diffusion.
[48] Vintedois (22h) diffusion. https://huggingface.co/22h/vintedois-diffusion-v0-1.
[49] Lexica. https://lexica.art/docs.
[50] Dall-e mini. https://github.com/borisdayma/dalle-mini.
[51] Saehoon Kim, Sanghun Cho, Chiheon Kim, Doyup Lee, and Woonhyuk Baek. mindall-e on conceptual captions. https://github.com/kakaobrain/minDALL-E, 2021.
[52] Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andres Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, and Samuel Weinbach. Multifusion: Fusing pre-trained models for multi-lingual, multi-modal image generation, 2023.
[53] deep-floyd. https://github.com/deep-floyd/IF.
[54] Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. Squad: 100,000+ questions for machine comprehension of text. In Empirical Methods in Natural Language Processing (EMNLP), 2016.
[55] Kawin Ethayarajh and Dan Jurafsky. Utility is in the eye of the user: A critique of nlp leaderboards. arXiv preprint arXiv:2009.13888, 2020.
[56] Inioluwa Deborah Raji, Emily M Bender, Amandalynne Paullada, Emily Denton, and Alex Hanna. Ai and the everything in the whole wide world benchmark. arXiv preprint arXiv:2111.15366, 2021.
[57] Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R Bowman. Glue: A multi-task benchmark and analysis platform for natural language understanding. arXiv preprint arXiv:1804.07461, 2018.
[58] Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, et al. Wilds: A benchmark of in-the-wild distribution shifts. In International Conference on Machine Learning, pages 5637-5664. PMLR, 2021.
[59] Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, et al. Beyond the imitation game: Quantifying and extrapolating the capabilities of language models. arXiv preprint arXiv:2206.04615, 2022.
[60] Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiao Chen, Michihiro Yasunaga, and Diyi Yang. Is chatgpt a general-purpose natural language processing task solver? arXiv preprint arXiv:2302.06476, 2023.
[61] Yuval Kirstain, Adam Polyak, Uriel Singer, Shahbuland Matiana, Joe Penna, and Omer Levy. Pick-a-pic: An open dataset of user preferences for text-to-image generation. arXiv preprint arXiv:2305.01569, 2023.