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 • 509
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model Paper • 2509.09372 • Published Sep 11, 2025 • 246
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain Paper • 2509.26507 • Published Sep 30, 2025 • 547
MixtureVitae: Open Web-Scale Pretraining Dataset With High Quality Instruction and Reasoning Data Built from Permissive-First Text Sources Paper • 2509.25531 • Published Sep 29, 2025 • 9
Self Correction Bench Collection Benchmarking LLM capability of external and internal error correction • 4 items • Updated 2 days ago • 1
Self-Correction Bench: Revealing and Addressing the Self-Correction Blind Spot in LLMs Paper • 2507.02778 • Published Jul 3, 2025 • 9
FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language Paper • 2506.20920 • Published Jun 26, 2025 • 77
view article Article LeRobot goes to driving school: World’s largest open-source self-driving dataset Mar 11, 2025 • 105
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning Paper • 2502.01100 • Published Feb 3, 2025 • 21
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking Paper • 2501.04519 • Published Jan 8, 2025 • 288
Byte Latent Transformer: Patches Scale Better Than Tokens Paper • 2412.09871 • Published Dec 13, 2024 • 108