M5 – A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks

M5 – A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks Florian Schneider author Sunayana Sitaram author 2024-11 text Findings of the Association for Computational Linguistics: EMNLP 2024 Yaser Al-Onaizan editor Mohit Bansal editor Yun-Nung Chen editor Association for Computational Linguistics Miami, Florida, USA conference publication schneider-sitaram-2024-m5 10.18653/v1/2024.findings-emnlp.250 https://aclanthology.org/2024.findings-emnlp.250/ 2024-11 4309 4345