2 papers
cs.CL2024
Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models
Spyridon Mouselinos, Henryk Michalewski, Mateusz Malinowski
Large Language Models (LLMs) demonstrate ever-increasing abilities in mathematical and algorithmic tasks, yet their geometric reasoning skills are underexplored. We investigate LLM…
cs.CV2023
SODA: Bottleneck Diffusion Models for Representation Learning
Drew A. Hudson, Daniel Zoran, Mateusz Malinowski +6
We introduce SODA, a self-supervised diffusion model, designed for representation learning. The model incorporates an image encoder, which distills a source view into a compact rep…