ICLR 2026

ABOUT LIQUID AI Spun out of MIT CSAIL, we build foundation models from scratch using a fundamentally different architecture. Our Liquid Foundation Models (LFMs) are built on a fundamentally different hybrid architecture, they deliver faster inference, lower memory, and deploy where traditional models can't. We ship open-weight text, vision-language, and audio-language models that run on phones, laptops, vehicles, and embedded devices. WHY WE'RE AT ICLR We're here because ICLR brings together the people working on the problems we care most about: efficient architectures, representation learning, multimodal reasoning, and the science of how models learn. If our conversation at the booth was interesting, this is the next step. WHAT WE'RE BUILDING Liquid AI is hiring across several research and engineering areas. You don't need to fit neatly into one. If your work touches any of these, we want to talk: - Efficient Architectures. State space models, hybrid attention designs, neural