Luca Schulze Buschoff

Excited to see our Centaur project out in @Nature. TL;DR: Centaur is a computational model that predicts and simulates human behavior for any experiment described in natural language.

Happy to say we made the cover too! (@elifakata, @cpilab)

Our paper (with @elifakata, @MatthiasBethge, @cpilab) on visual cognition in multimodal large language models is now out in @NatMachIntell. We find that VLMs fall short of human capabilities in intuitive physics, causal reasoning, and intuitive psychology. nature.com/articles/s4225…

Excited to announce Centaur -- the first foundation model of human cognition. Centaur can predict and simulate human behavior in any experiment expressible in natural language. You can readily download the model from @huggingface and test it yourself: huggingface.co/marcelbinz/Lla…

Object slots are great for compositional generalization, but can models without these inductive biases learn compositional representations without supervision too? Yes! Unsupervised learning on object videos yields entangled, yet compositional latent codes for objects!

Come work with @can_demircann and me on semantic label smoothing (it's cool, I promise)!

🚨Pre-print alert:🚨 Have we built machines that think like people? In new work, led by @lucaschubu and @elifakata and together with @MatthiasBethge, we assess multi-modal #LLMs reasoning abilities in three core domains: intuitive physics, causality, and intuitive psychology.