Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866914574606794752 |
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| author | Alam, Firoj Chowdhury, Shammur Absar Prince, Enamul Hoque |
| author_facet | Alam, Firoj Chowdhury, Shammur Absar Prince, Enamul Hoque |
| contents | Multimodal LLMs are evolving from vision-language to tri-modality that see, hear, and read, yet pipelines and benchmarks remain English-centric and compute-heavy. The tutorial offers an overview of this emerging research area for multilingual multimodality across text, speech, and vision under limited data/compute budgets, synthesizing foundations, recent multilingual models (PALO, Maya), speech-text LLMs. We cover low-cost data creation/curation; adapter stacks for tri-modal alignment; culture-aware evaluation beyond English and hands on resources for fine-tuning a compact multilingual VLM and wiring a speech->text->LLM pipeline. The content will be delivered as an interactive half-day tutorial, designed for researchers and practitioners working on multilingual, multimodal AI in low-resource language settings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_17152 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages Alam, Firoj Chowdhury, Shammur Absar Prince, Enamul Hoque Computation and Language 68T50 F.2.2; I.2.7 Multimodal LLMs are evolving from vision-language to tri-modality that see, hear, and read, yet pipelines and benchmarks remain English-centric and compute-heavy. The tutorial offers an overview of this emerging research area for multilingual multimodality across text, speech, and vision under limited data/compute budgets, synthesizing foundations, recent multilingual models (PALO, Maya), speech-text LLMs. We cover low-cost data creation/curation; adapter stacks for tri-modal alignment; culture-aware evaluation beyond English and hands on resources for fine-tuning a compact multilingual VLM and wiring a speech->text->LLM pipeline. The content will be delivered as an interactive half-day tutorial, designed for researchers and practitioners working on multilingual, multimodal AI in low-resource language settings. |
| title | Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages |
| topic | Computation and Language 68T50 F.2.2; I.2.7 |
| url | https://arxiv.org/abs/2605.17152 |