arXiv:2602. 14486v2 Announce Type: replace-cross Abstract: The Platonic Representation Hypothesis suggests that representations from neural networks are converging to a common statistical model of reality.
By Fabian Gr\"oger, Shuo Wen, Maria Brbi\'c
arXiv:2609.22695v1 Announce Type: new
Abstract: The term "linear representation hypothesis" (LRH) has appeared across diverse subfields of artificial intelligence, neuroscience, and cognitive science...
By Sewoong Lee, Marc E. Canby, Ikhyun Cho, Julia Hockenmaier
arXiv:2608.29530v1 Announce Type: cross
Abstract: Modern systems in artificial intelligence (AI) somehow excel in domains for which they seem poorly suited. Intelligence has traditionally been modele...
By R. Thomas McCoy, Paul Soulos, Tal Linzen, Paul Smolensky
arXiv:2508. 11214v2 Announce Type: replace-cross Abstract: Explanations of cognitive behavior often appeal to computations over representations.
By Atticus Geiger, Jacqueline Harding, Thomas Icard
The Platonic Representation Hypothesis (PRH) claims that independently trained models converge on a shared statistical model of reality, yet recent work finds only weak pointwise similarity between mo...
arXiv:2606. 06624v1 Announce Type: new Abstract: In the current era of deep learning and especially generative models, there is significant investment in training very large generative models.
By San Buchanan, Druv Pai, Peng Wang, Yi Ma