Vision Transformers for Mobile Applications: A Short Survey. - Nahid Alam; Steven Kolawole; Simardeep Sethi; Nishant Bansali; Karina Nguyen (CoRR, 2023)

Embedding Geometries of Contrastive Language-Image Pre-training. - Jason Chuan-Chih Chou; Nahid Alam (ECCV Workshops (17), 2024)

Maya: An Instruction Finetuned Multilingual Multimodal Model. - 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; et al. (CoRR, 2024)

Understanding and Mitigating Toxicity in Image-Text Pretraining Datasets: A Case Study on LLaVA. - Nahid Alam; Karthik Reddy Kanjula; Surya Guthikonda; Shayakh Islam (CVPR Workshops, 2025)

Understanding and Mitigating Toxicity in Image-Text Pretraining Datasets: A Case Study on LLaVA. - Karthik Reddy Kanjula; Surya Guthikonda; Nahid Alam; Shayekh Bin Islam (CoRR, 2025)

Behind Maya: Building a Multilingual Vision Language Model. - 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; et al. (CoRR, 2025)