Outline

All Slides

• Introduction: low-resource and challenges. (slide)
• Multilingual and Multimodal Models: Capabilities for low-resource languages. (slide)
• Multilingual & Multimodal Resource Development: Low-cost pipeline, training, and benchmarking datasets. (slide)
• Architectures and Efficient Training: Adapter-based and parameter-efficient methods. (slide)
• Speech-centric LLMs: State-of-the-art models and curated resources. (slide)
• Evaluation & error analysis: Evolution of Evaluation metrics, benchmarking tools and resources: (slide)

Cite the tutorial

If you use material from this tutorial, please cite:

Alam, Firoj, Shammur Absar Chowdhury, and Enamul Hoque Prince. 2026. “Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages.” arXiv preprint arXiv:2605.17152. https://arxiv.org/abs/2605.17152.

@article{alam2026multilingualmultimodalllmswild,
  title={Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages},
  author={Alam, Firoj and Chowdhury, Shammur Absar and Prince, Enamul Hoque},
  journal={arXiv preprint arXiv:2605.17152},
  year={2026},
  url={https://arxiv.org/abs/2605.17152}
}