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We introduce the World Wide recipe, which sets forth a framework for culturally aware and participatory data collection, and the resultant regionally diverse World Wide Dishes evaluation dataset.
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Exploring the limits of transfer learning with a unified text-to-text transformer
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MasakhaNER: Named entity recognition for African languages
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Laion-400m: Open dataset of clip-filtered 400 million image-text pairs
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Ethical and social risks of harm from language models
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A prompt array keeps the bias away: Debiasing vision-language models with adversarial learning
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Power to the people? Opportunities and challenges for participatory AI. In Proceedings of the 2nd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization . 1–8
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Davidsonian Scene Graph: Improving Reliability in Fine-Grained Evaluation for Text-to-Image Generation. In ICLR
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High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 10684–10695
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