Intuitive physics understanding emerges from self-supervised pretraining on natural videos Paper • 2502.11831 • Published 20 days ago • 18
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features Paper • 2502.04320 • Published Feb 6 • 35 • 3
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features Paper • 2502.04320 • Published Feb 6 • 35
BTS: Harmonizing Specialized Experts into a Generalist LLM Paper • 2502.00075 • Published Jan 31 • 1 • 1
Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming Paper • 2501.18837 • Published Jan 31 • 10
Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming Paper • 2501.18837 • Published Jan 31 • 10 • 5
Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation Paper • 2501.12202 • Published Jan 21 • 35
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps Paper • 2501.09732 • Published Jan 16 • 70
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Paper • 2410.06940 • Published Oct 9, 2024 • 7
Medical SAM 2: Segment medical images as video via Segment Anything Model 2 Paper • 2408.00874 • Published Aug 1, 2024 • 50
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27, 2024 • 610