{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/behind-maya-building-a-multilingual-vision","title":"Behind Maya: Building a Multilingual Vision Language Model","arxiv_id":"2505.08910","date":"2025-05-13","proceeding":null,"authors":["Nahid Alam","Karthik Reddy Kanjula","Surya Guthikonda","Timothy Chung","Bala Krishna S Vegesna","Abhipsha Das","Anthony Susevski","Ryan Sze-Yin Chan","S M Iftekhar Uddin","Shayekh Bin Islam","Roshan Santhosh","Snegha A","Drishti Sharma","Chen Liu","Isha Chaturvedi","Genta Indra Winata","Ashvanth. S","Snehanshu Mukherjee","Alham Fikri Aji"],"abstract":"In recent times, we have seen a rapid development of large Vision-Language Models (VLMs). They have shown impressive results on academic benchmarks, primarily in widely spoken languages but lack performance on low-resource languages and varied cultural contexts. To address these limitations, we introduce Maya, an open-source Multilingual VLM. Our contributions are: 1) a multilingual image-text pretraining dataset in eight languages, based on the LLaVA pretraining dataset; and 2) a multilingual image-text model supporting these languages, enhancing cultural and linguistic comprehension in vision-language tasks. Code available at https://github.com/nahidalam/maya.","url_abs":"https://arxiv.org/abs/2505.08910v2","url_pdf":"https://arxiv.org/pdf/2505.08910v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"behind-maya-building-a-multilingual-vision","repo_url":"https://github.com/nahidalam/maya","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"language-modeling","task_name":"Language Modeling"},{"task_slug":"language-modelling","task_name":"Language Modelling"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}