LFM2 Technical Report

Ramin Hasani is a researcher and entrepreneur at Liquid AI whose public homepage and Google Scholar profile highlight work on liquid neural networks, efficient foundation models, and reliable AI systems.

Researcher at Liquid AI and coauthor of the LFM2 Technical Report.

Researcher working on language models and efficient multimodal systems, including Liquid AI LFM2.

Researcher at Liquid AI and coauthor of the LFM2 Technical Report.

Chief scientist and co-founder of Liquid AI, and an associate at MIT CSAIL, with research spanning AI, machine learning, and dynamical systems.

Liquid AI researcher working on multimodal AI, large language models, and machine learning, and a co-author of the LFM2 technical report.

Researcher at Liquid AI and coauthor of the LFM2 Technical Report.

Nicholas Warner is a Research Scientist at Liquid AI. He previously worked as a research scientist at Salesforce and Amazon, earned a PhD in statistics from the University of Chicago, and focuses on language models, reasoning, and related foundation-model research.

Nima Dehghani is a computational neuroscientist and AI researcher at Liquid AI whose public homepage highlights work on neural dynamics, brain-inspired AI, and efficient models.

Researcher at Liquid AI and coauthor of the LFM2 Technical Report.

Simeon Spasov is chief scientist at Liquid AI.

Researcher at Liquid AI and coauthor of the LFM2 Technical Report.

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Ramin Hasani

Alexander Kozachinski

Arash Saraf

Ayush Tiwari

Deepak Marathe

Gagandeep Singh

Haotian Li

Kevin J. Liang

Mathias Lechner

Min Du

Nicholas Cullen

Nicholas Warner

Nima Dehghani

Oliver Fleischer

Patricio Vulić

Ramin M. Khanipour

Simeon Spasov

Soo-Young Lee

Szymon Migacz

Srikanth Kaptan

Toby Galway

Tyree Wong

Yusuf Onur Arik

Arjun Bhagoji