Can Discrete Tokens Serve as Semantically Lossless Representations of Visual Signals? Paper • 2610.37662 • Published 18 days ago • 37
When Do Biological Reasoning Models Use Their Biological Inputs? Paper • 2610.00898 • Published Oct 1 • 6
Does Learning Protein Folding Generalize to Broader Reasoning? Paper • 2609.38879 • Published Sep 30 • 39
Learning Latent Protein Languages for Autoregressive Generation Paper • 2610.03978 • Published Oct 2 • 4
AutoGUIWorld: Image Generators as Visual World Models for GUI Agent Paper • 2610.01215 • Published Oct 1 • 35
iFSQ: Improving FSQ for Image Generation with 1 Line of Code Paper • 2601.17124 • Published Jan 23 • 34
Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization Paper • 2509.10140 • Published Sep 12, 2025 • 3
VQRAE: Representation Quantization Autoencoders for Multimodal Understanding, Generation and Reconstruction Paper • 2511.23386 • Published Nov 28, 2025 • 16
P1: Mastering Physics Olympiads with Reinforcement Learning Paper • 2511.13612 • Published Nov 17, 2025 • 128
Emu3.5: Native Multimodal Models are World Learners Paper • 2510.26583 • Published Oct 30, 2025 • 117
The End of Manual Decoding: Towards Truly End-to-End Language Models Paper • 2510.26697 • Published Oct 30, 2025 • 121
Video-Thinker: Sparking "Thinking with Videos" via Reinforcement Learning Paper • 2510.23473 • Published Oct 27, 2025 • 87
view article Article Cosmos Predict 2.5 & Transfer 2.5: Evolving the World Foundation Models for Physical AI nvidia • Oct 28, 2025 • 22
Less is More: Recursive Reasoning with Tiny Networks Paper • 2510.04871 • Published Oct 6, 2025 • 520