SmolVLM: Redefining small and efficient multimodal models Paper • 2504.05299 • Published 10 days ago • 160
World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning Paper • 2503.10480 • Published Mar 13 • 49
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning Paper • 2502.06060 • Published Feb 9 • 37
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features Paper • 2502.14786 • Published Feb 20 • 142
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention Paper • 2502.11089 • Published Feb 16 • 153
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Paper • 2502.05171 • Published Feb 7 • 137
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning Paper • 2501.12948 • Published Jan 22 • 381
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models Paper • 2501.11873 • Published Jan 21 • 66
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps Paper • 2501.09732 • Published Jan 16 • 72
MiniMax-01: Scaling Foundation Models with Lightning Attention Paper • 2501.08313 • Published Jan 14 • 285
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though Paper • 2501.04682 • Published Jan 8 • 98
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking Paper • 2501.04519 • Published Jan 8 • 275