Unsupervised Generative Models Reveal Number Sense Through Rate-Distortion Analysis
Published:Dec 22, 2025 14:52
•1 min read
•ArXiv
Analysis
This research explores how unsupervised generative models develop an understanding of numerical concepts. The rate-distortion perspective provides a novel framework for analyzing the emergence of number sense in these models.
Key Takeaways
Reference
“The study is published on ArXiv.”