<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/c575070fb68c422985afde3318534956&quot; frameborder=&quot;0&quot; width=&quot;1110&quot; height=&quot;832&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>832</height><width>1110</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>832</thumbnail_height><thumbnail_width>1110</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/c575070fb68c422985afde3318534956-1717903812722.gif</thumbnail_url><duration>161.3</duration><title>Rare Disease Q&amp;amp;A Project Overview 🌟</title><description>In this video, I present our project on fast causal attributions for rare disease Q&amp;A using GROC. With over 7000 rare diseases globally, many with minimal data, we aim to revolutionize question-answering in this domain. Our innovative approach eliminates the need for training data and significantly speeds up inference time, addressing a critical gap in the field. Watch to see how we tackle this challenge!</description></oembed>