VAM! AI Reading Group - CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning

​Issam Laradji will present CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning

​📄 Paper: https://arxiv.org/abs/2511.18659

​To maximize engagement, please try to read the paper in advance.

​Paper 3-line Summary: CLaRa (Continuous Latent Reasoning) is a unified framework that performs embedding-based compression and joint optimization in a shared continuous space. To obtain semantically rich and retrievable compressed vectors, we introduce SCP, a key-preserving data synthesis framework using QA and paraphrase supervision. CLaRa then trains the reranker and generator end-to-end via a single language modeling loss, with gradients flowing through both modules using a differentiable top-k estimator.

​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: Join Discord Server

​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!