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Text-To-Image (TTI) models, such as DALL-E and StableDiffusion, have demonstrated remarkable prompt-based image generation capabilities.
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Large language models associate muslims with violence
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Larger-scale transformers for multilingual masked language modeling
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Visually grounded reasoning across languages and cultures
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Learning transferable visual models from natural language supervision
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Zero-shot text-to-image generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever. 2021 · 2021
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2021 · 2021
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Probing pre-trained language models for cross-cultural differences in values
Arnav Arora, Lucie-Aimée Kaffee, and Isabelle Augenstein. 2022 · 2022
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Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti, Romain Beaumont, Ross Wightman, Mitchell Wortsman, Gabriel Ilharco, Cade Gordon, Christoph Schuhmann, Ludwig Schmidt, and Jenia Jitsev. 2022 · 2022
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Dall-eval: Probing the reasoning skills and social biases of text-to-image generative models
Jaemin Cho, Abhay Zala, and Mohit Bansal. 2022 · 2022
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World values survey wave 7 (2017-2022) cross-national data-set
Christian Haerpfer, Ronald Inglehart, Alejandro Moreno, Christian Welzel, Kseniya Kizilova, Jaime Diez-Medrano, Marta Lagos, Pippa Norris, Eduard Ponarin, and Bi Puranen. 2022 · 2022
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Storydall-e: Adapting pretrained text-to-image transformers for story continuation
Adyasha Maharana, Darryl Hannan, and Mohit Bansal. 2022 · 2022
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Cultural incongruencies in artificial intelligence
Vinodkumar Prabhakaran, Rida Qadri, and Ben Hutchinson. 2022 · 2022
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Hierarchical text-conditional image generation with clip latents
Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi. 2023 · 2023
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On the cultural gap in text-to-image generation
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Reem I. Masoud, Ziquan Liu, Martin Ferianc, Philip Treleaven, and Miguel Rodrigues. 2023 · 2023
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Social biases through the text-to-image generation lens
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Having beer after prayer? measuring cultural bias in large language models
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Bloom: A 176b-parameter open-access multilingual language model
Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilić, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, et al. 2022 · 2022
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“I’m sorry to hear that”: Finding new biases in language models with a holistic descriptor dataset
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The biased artist: Exploiting cultural biases via homoglyphs in text-guided image generation models
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Which humans?
Mohammad Atari, Mona J. Xue, Peter S. Park, Damián E. Blasi, and Joseph Henrich. 2023 · 2023
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