Papers by Runjia Li
No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages (2024.emnlp-main)
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Youssef Mohamed, Runjia Li, Ibrahim Ahmad, Kilichbek Haydarov, Philip Torr, Kenneth Church, Mohamed Elhoseiny
| Challenge: | Traditionally, vision research focused on unambiguous class labels, whereas ArtELingo emphasizes diversity of opinions over languages and cultures. |
| Approach: | They propose a vision-language benchmark that spans 28 languages and encompasses approximately 200,000 annotations. |
| Outcome: | The proposed benchmark spans 28 languages and encompasses approximately 200,000 annotations . the challenge is to build machine learning systems that assign emotional captions to images . |