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VAM! AI Reading Group - Paper: "Doc-to-LoRA"
โ1) ๐ Paper: Doc-to-LoRA: Learning to Instantly Internalize Contexts (Charakorn et al. 2026)
โhttps://arxiv.org/pdf/2602.15902
โ2) Presenter: Issam Laradji
โRecommended Action Item:
โplease message me if you would like to present an AI paper
โto maximize engagement during the reading group, please try to read the paper in advance.
โWant to present?
โThe list of papers will be available here: https://docs.google.com/spreadsheets/d/1HET5sjnHjwiF3IaCTipR_ZWspfgglqwdBFRWAfKBhp8/edit?usp=sharing
โTo connect with the group, join the Discord: https://discord.gg/teJvEejs94
โTimeline:
๐ 6:00 PM โ Arrival & Networking.
โ๐ฃ๏ธ 6:10 PM ~ 7:15 โ Paper Presentation & Discussions
โAbout the Facilitator
โIssam Laradji is a Research Scientist at ServiceNow and an Adjunct Professor at University of British Columbia. He holds a PhD in Computer Science and a PhD from the University of British Columbia, and his research interests include natural language processing, computer vision, and large-scale optimization.
โLooking forward to discussing the latest AI Papers!
โAbout Northeastern University
โFounded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. With 13 campuses across the U.S., U.K., and Canada, over 320,000 alumni, and more than 3,800 partners worldwide, the global university network serves as a platform for scaling ideas, talent, and solutions. Located in the heart of downtown, the Vancouver campus offers a wide range of masterโs-level tech degrees, including pathway programs that allow students with non-STEM backgrounds to pursue a graduate degree in tech.
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