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Benchmarks of the multilingual capabilities of text-to-image (T2I) models compare generated images prompted in a test language to an expected image distribution over a concept set.
Extraction of associative attributes from nouns and quantitative expression of prototype concept
Maya Ando, Jun Okamoto, and Shun Ishizaki. 2002 · 2002
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BabelNet: Building a very large multilingual semantic network
Roberto Navigli and Simone Paolo Ponzetto. 2010 · 2010
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Measuring machine translation errors in new domains
Ann Irvine, John Morgan, Marine Carpuat, Hal Daumé III, and Dragos Munteanu. 2013 · 2013
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Vqa: Visual question answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh. 2015 · 2015
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Multimodal pivots for image caption translation
Julian Hitschler, Shigehiko Schamoni, and Stefan Riezler. 2016 · 2016
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Don’t just assume; look and answer: Overcoming priors for visual question answering
Aishwarya Agrawal, Dhruv Batra, Devi Parikh, and Aniruddha Kembhavi. 2018 · 2018
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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From recognition to cognition: Visual commonsense reasoning
Rowan Zellers, Yonatan Bisk, Ali Farhadi, and Yejin Choi. 2019 · 2019
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Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
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Who’s waldo? linking people across text and images
Yuqing Cui, Apoorv Khandelwal, Yoav Artzi, Noah Snavely, and Hadar Averbuch-Elor. 2021 · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. 2021 · 2021
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Gender bias in machine translation
Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, Matteo Negri, and Marco Turchi. 2021 · 2021
Cited alongside, same era.
Laion-400m: Open dataset of clip-filtered 400 million image-text pairs
Christoph Schuhmann, Richard Vencu, Romain Beaumont, Robert Kaczmarczyk, Clayton Mullis, Aarush Katta, Theo Coombes, Jenia Jitsev, and Aran Komatsuzaki. 2021 · 2021
Cited alongside, same era.
Multiple captions embellished multilingual multi-modal neural machine translation
Salam Michael Singh, Loitongbam Sanayai Meetei, Thoudam Doren Singh, and Sivaji Bandyopadhyay. 2021 · 2021
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
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Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi. 2022 · 2022
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Wikiwhy: Answering and explaining cause-and-effect questions
Matthew Ho, Aditya Sharma, Justin Chang, Michael Saxon, Sharon Levy, Yujie Lu, and William Yang Wang. 2023 · 2023
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T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation
Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, and Xihui Liu. 2023 · 2023
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Multilingual conceptual coverage in text-to-image models
Michael Saxon and William Yang Wang. 2023 · 2023
Later among the works it cites.
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Cited alongside, same era.
A case study of the shortcut effects in visual commonsense reasoning
Keren Ye and Adriana Kovashka. 2021 · 2021
Cited alongside, same era.
Altclip: Altering the language encoder in clip for extended language capabilities
Zhongzhi Chen, Guang Liu, Bo-Wen Zhang, Fulong Ye, Qinghong Yang, and Ledell Wu. 2022 · 2022
Cited alongside, same era.
Dall-eval: Probing the reasoning skills and social biases of text-to-image generative transformers
Jaemin Cho, Abhay Zala, and Mohit Bansal. 2022 · 2022
Cited alongside, same era.
To find waldo you need contextual cues: Debiasing who’s waldo
Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, and Chitta Baral. 2022 · 2022
Cited alongside, same era.
PECO: Examining single sentence label leakage in natural language inference datasets through progressive evaluation of cluster outliers
Michael Saxon, Xinyi Wang, Wenda Xu, and William Yang Wang. 2023 · 2023
Later among the works it cites.
T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation
Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, and Xihui Liu. 2024 · 2024
Closest in time.
Conceptbed: Evaluating concept learning abilities of text-to-image diffusion models
Maitreya Patel, Tejas Gokhale, Chitta Baral, and Yezhou Yang. 2024 · 2024
Closest in time.