Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation
Abstract
The evaluation of vision-language models (VLMs) has mainly relied on English-language benchmarks, leaving significant gaps in both multilingual and multicultural coverage. While multilingual benchmarks have expanded, both in size and languages, many rely on translations of English datasets, failing to capture cultural nuances. In this work, we propose Kaleidoscope, as the most comprehensive exam benchmark to date for the multilingual evaluation of vision-language models. Kaleidoscope is a large-scale, in-language multimodal benchmark designed to evaluate VLMs across diverse languages and visual inputs. Kaleidoscope covers 18 languages and 14 different subjects, amounting to a total of 20,911 multiple-choice questions. Built through an open science collaboration with a diverse group of researchers worldwide, Kaleidoscope ensures linguistic and cultural authenticity. We evaluate top-performing multilingual vision-language models and find that they perform poorly on low-resource languages and in complex multimodal scenarios. Our results highlight the need for progress on culturally inclusive multimodal evaluation frameworks.
Keywords
Cite
@article{arxiv.2504.07072,
title = {Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation},
author = {Israfel Salazar and Manuel Fernández Burda and Shayekh Bin Islam and Arshia Soltani Moakhar and Shivalika Singh and Fabian Farestam and Angelika Romanou and Danylo Boiko and Dipika Khullar and Mike Zhang and Dominik Krzemiński and Jekaterina Novikova and Luísa Shimabucoro and Joseph Marvin Imperial and Rishabh Maheshwary and Sharad Duwal and Alfonso Amayuelas and Swati Rajwal and Jebish Purbey and Ahmed Ruby and Nicholas Popovič and Marek Suppa and Azmine Toushik Wasi and Ram Mohan Rao Kadiyala and Olga Tsymboi and Maksim Kostritsya and Bardia Soltani Moakhar and Gabriel da Costa Merlin and Otávio Ferracioli Coletti and Maral Jabbari Shiviari and MohammadAmin farahani fard and Silvia Fernandez and María Grandury and Dmitry Abulkhanov and Drishti Sharma and Andre Guarnier De Mitri and Leticia Bossatto Marchezi and Setayesh Heydari and Johan Obando-Ceron and Nazar Kohut and Beyza Ermis and Desmond Elliott and Enzo Ferrante and Sara Hooker and Marzieh Fadaee},
journal= {arXiv preprint arXiv:2504.07072},
year = {2025}
}
Comments
v2: corrected the author list