VAM! AI Reading Group: Deep Research Benchmarks
Issam Laradji will present DRBench: A Realistic Benchmark for Enterprise Deep Research.
📄 Paper: https://arxiv.org/abs/2510.00172
To maximize engagement, please try to read the paper in advance.
This work looks at how AI systems can better handle complex research tasks in enterprise settings. As companies depend more on AI to find and summarize information, having realistic ways to test these systems becomes increasingly important.
DRBench offers a benchmark designed to evaluate how well deep research models perform in real-world enterprise scenarios.
Want to present?
The list of papers will be available here: https://docs.google.com/spreadsheets/d/1HET5sjnHjwiF3IaCTipR_ZWspfgglqwdBFRWAfKBhp8/edit?usp=sharing
To connect with the group, join the Discord: https://discord.gg/teJvEejs94
Timeline:
🕠 6:30 PM – Arrival & Networking.
🗣️ 6:45 PM ~ 7:15 – Paper Presentation
🗣️ 7:15 PM - Discussions
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!