Uploaded July 2026 | Updated September 2026, 2 weeks ago
Ishan Sinha and Evan Li
June 10, 2026
This video is closed captioned.
Paul G. Allen School
|
CSE 481: Networks and Mobile AI Capstone–MAM: Can a Tiny Recurrent Model Get Better at Math?
🔇 TAP TO UNMUTE
![[Audio Descriptions] I Am CSE Overview](https://i.ytimg.com/vi/nvSgXXABE0k/mqdefault.jpg "[Audio Descriptions] I Am CSE Overview
In this mash-up of footage from our collection of I Am CSE videos, three Allen School student researchers describe their work in robotics, accessibility, and ubiquitous computing—and explain why the Allen School is a great place to do leading-edge research.
A version of this video without audio descriptions is available here: https://youtu.be/Yzz_nTIohwQ")
![[Audio Descriptions] I Am CSE: Melanie Sclar](https://i.ytimg.com/vi/oXbk5FnpUnE/mqdefault.jpg "[Audio Descriptions] I Am CSE: Melanie Sclar
Melanie Sclar, a graduate student in the Allen School’s Natural Language Processing group, explains her work to advance the ability of large language models to engage in human-like reasoning known as “theory of mind” and why the Allen School is a big destination for researchers in AI.
This video is closed captioned.
A version of this video without audio descriptions is available here: https://youtu.be/OGQzgUVKwb0.")
