Shravan Nayak

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Hi! I am Shravan Nayak. I am currently pursuing my research masters in computer science at Mila and the University of Montreal, where I am supervised by Prof. Aishwarya Agrawal. At MILA, my focus lies in developing vision language systems that transcend linguistic barriers and cater to diverse demographics. Imagine a world where the language is no longer a barrier but a bridge, connecting people across cultures and backgrounds. This vision fuels my research and fuels my determination to create a more inclusive technological landscape for all.

Prior to starting my grad studies, I spent two years at Microsoft, contributing to the PowerPoint mobile team. I played a key role in crafting user experiences, developing features like background customization and text highlighting. If you’ve ever used PowerPoint on your mobile phones, chances are you’ve encountered my work, even if unknowingly!

Alongside, I’ve been deeply involved in artificial intelligence research for over four years. I have worked on reinforcement learning for energy mangement in microgrid networks at IISc, dubbing at LT Lab in Hamburg, and machine translation for low resource languages at the University of Toronto.

In my free time, I love to cook and explore archaeology. Right now, I’m diving into the history of the Harappan civilization and hope to study the history of the entire world one day.

News

Sep 19, 2024 Two papers accepted at EMNLP!! “Benchmarking Vision Language Models for Cultural Understanding” got accepted to Main and “Improving Adversarial Robustness in Vision-Language Models with Architecture and Prompt Design” got accepted to Findings. See you in Miami :)
Aug 26, 2024 Started as a Visiting Researcher at ServiceNow Research working on building the next generation of foundation models and datasets for document, web and GUI understanding.
Jun 22, 2024 Our paper “Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques” got accepted to TIFA workshop and NextGenAISafety workshop at ICML.
May 31, 2024 Our paper “CulturalVQA: Benchmarking Vision Language Models for Cultural Knowledge” got accepted at Computer Vision in the Wild workshop at CVPR.
Apr 1, 2024 Started as an Applied Science Intern at AMLRT Mila on the project of diffusion model alignment!
Mar 13, 2024 Received UdeM Excellence Scholarship of 3100 CAD from University of Montreal :)
Apr 5, 2023 Got admission into masters programs of CMU, Mila, Columbia and JHU. Decided to pursue CS research masters at Mila with full funding under Prof. Aishwara Agrawal.