Sofian Zalouk

CS PhD Student @Cornell | Prev. @Stanford & @UofT

[Linxi Zhao @linxizhao4]

🚀Excited to share our latest work:
LLMs entangle language and knowledge, making it hard to verify or update facts.
We introduce LMLM 🐑🧠 — a new class of models that externalize factual knowledge into a database and learn during pretraining when and how to retrieve facts instead of memorizing them.

🧠Why LMLM?
• Learning to look up facts is easier than memorization
• Externalizing knowledge improves factual precision
• Enables instant machine unlearning by design
LMLM opens new directions for how future language models can manage and access knowledge.

📄 [ArXiv] https://t.co/CJFzyBtoiM
🌐 [Project Page] https://t.co/dt2t9m656V
💻 [Code] https://t.co/vIx1vKPNXC
🎤 [Talk] https://t.co/60CiOXfdEO

Huge thanks to my amazing collaborators:
@linxizhao4 @sofianzalouk Christian Belardi Justin Lovelace @JinPZhou
And to our incredible advisors @KilianQW, @yoavartzi, and @JenJSun for their generous support and insight.