All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages

Vayani, Ashmal and Dissanayake, Dinura and Watawana, Hasindri and Ahsan, Noor and Sasikumar, Nevasini and Thawakar, Omkar and Ademtew, Henok Biadglign and Hmaiti, Yahya and Kumar, Amandeep and Kuckreja, Kartik and Maslych, Mykola and Al Ghallabi, Wafa and Mihaylov, Mihail and Qin, Chao and Shaker, Abdelrahman M and Zhang, Mike and Ihsani, Mahardika Krisna and Esplana, Amiel and Gokani, Monil and Mirkin, Shachar and Singh, Harsh and Srivastava, Ashay and Hamerlik, Endre and Asma Izzati, Fathinah and Adamsyah Maani, Fadillah and Cavada, Sebastian and Chim, Jenny and Gupta, Rohit and Manjunath, Sanjay and Zhumakhanova, Kamila (2025) All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. In: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Piscataway (NJ), pp. 19565-19575. ISBN 9798331543648 10.1109/CVPR52734.2025.01822

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Item Type: Book Section
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Artificial Intelligence Laboratory
SWORD Depositor: MTMT Injector
Depositing User: MTMT Injector
Date Deposited: 15 Jan 2026 10:18
Last Modified: 15 Jan 2026 10:18
URI: https://eprints.sztaki.hu/id/eprint/11059

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