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VAM! AI Reading Group - Improved Unbiased Watermark for Large Language Models 🤖📖
1) 📄 Paper: "Improved Unbiased Watermark for Large Language Models" https://aclanthology.org/2025.acl-long.1005/ [ACL 2025]
2) Defending against Watermarks (guillaumemeyer/watermarks-remover)
Recommended Action Item:
please read the paper in advance 🙂
it’s totally okay if you don’t understand it
try to come with at least one question or comment about the paper
message me if you’d like to present an AI paper in a future session
To connect with the group, join the Discord: Join Discord Server
Timeline:
🕠 6:00 PM – Arrival & Networking.
🗣️ 6:25 PM ~ 6:40 PM – Round of Introductions
🗣️ 6:40 PM ~ 7:30 PM Paper Presentation & Discussions
🗣️ 7:30 PM ~ 7:45 PM Closing the presentation with a round of questions and comments
🍽️ After 7:45 PM (Optional) – Head to Good Co. for food, drinks, and more networking 📍 965 Granville St, Vancouver, BC
ℹ️ Disclaimers
🫧 Feel free to bring your own food and water bottle.
There is a water fountain at the venue
🚗 Paid parking is available nearby, including EasyPark,
🐾 The venue is not pet-friendly (service animals welcome).
🚲 Bicycles are not permitted inside the building.
Doors Close at 6:15 pm so please arrive before then.
Before 6:15 pm someone at the lobby can guide you to the 1417 Classroom at the 14th floor.
About the Facilitator
Issam 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.
Looking forward to discussing the latest AI Papers!
About Northeastern University
Founded 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 master’s-level tech degrees, including pathway programs that allow students with non-STEM backgrounds to pursue a graduate degree in tech.
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