Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders Paper • 2601.16208 • Published 3 days ago • 46
The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential in Diffusion Language Models Paper • 2601.15165 • Published 4 days ago • 59
Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space Paper • 2512.24617 • Published 26 days ago • 60
Next-Embedding Prediction Makes Strong Vision Learners Paper • 2512.16922 • Published Dec 18, 2025 • 84
LLaDA2.0: Scaling Up Diffusion Language Models to 100B Paper • 2512.15745 • Published Dec 10, 2025 • 80
REVE Collection Model collection of the "REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects" paper. • 4 items • Updated Nov 28, 2025 • 11
view article Article We’re open-sourcing our text-to-image model and the process behind it Nov 12, 2025 • 76
REVE: A Foundation Model for EEG -- Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects Paper • 2510.21585 • Published Oct 24, 2025 • 7
Scaling Latent Reasoning via Looped Language Models Paper • 2510.25741 • Published Oct 29, 2025 • 223
Diffusion Transformers with Representation Autoencoders Paper • 2510.11690 • Published Oct 13, 2025 • 166
Less is More: Recursive Reasoning with Tiny Networks Paper • 2510.04871 • Published Oct 6, 2025 • 507
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference Paper • 2508.02193 • Published Aug 4, 2025 • 136