<?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/7be56f214f62485a8270fdd0dfe23399&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/7be56f214f62485a8270fdd0dfe23399-1d021a21c7790cb4.gif</thumbnail_url><duration>159.94</duration><title>Enhancing Research Paper Readability</title><description>In this video, I introduce our project, DocuParis, which aims to tackle the confusion often experienced when reading dense research papers. We utilize eye tracking and LLMs to assist readers in understanding complex texts more effectively. Our tech stack includes TypeScript, Next.js, and various APIs to enhance the reading experience. I encourage you to explore our solution and provide any feedback or thoughts you may have.</description></oembed>