OmniMamba: Efficient and Unified Multimodal Understanding and Generation via State Space Models Paper • 2503.08686 • Published 5 days ago • 16
OmniMamba: Efficient and Unified Multimodal Understanding and Generation via State Space Models Paper • 2503.08686 • Published 5 days ago • 16 • 2
AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning Paper • 2503.07608 • Published 6 days ago • 19
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Paper • 2503.01743 • Published 13 days ago • 72
LightThinker: Thinking Step-by-Step Compression Paper • 2502.15589 • Published 23 days ago • 26
Small Models Struggle to Learn from Strong Reasoners Paper • 2502.12143 • Published 27 days ago • 28
LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization Paper • 2502.13922 • Published 25 days ago • 25
Running 2.26k 2.26k The Ultra-Scale Playbook 🌌 The ultimate guide to training LLM on large GPU Clusters
RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning Paper • 2502.13144 • Published 26 days ago • 37
Multimodal Mamba: Decoder-only Multimodal State Space Model via Quadratic to Linear Distillation Paper • 2502.13145 • Published 26 days ago • 36
Multimodal Mamba: Decoder-only Multimodal State Space Model via Quadratic to Linear Distillation Paper • 2502.13145 • Published 26 days ago • 36
Multimodal Mamba: Decoder-only Multimodal State Space Model via Quadratic to Linear Distillation Paper • 2502.13145 • Published 26 days ago • 36 • 2
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models Paper • 2501.01423 • Published Jan 2 • 37