SmolVLM: Redefining small and efficient multimodal models Paper • 2504.05299 • Published 12 days ago • 162
Running 2.48k 2.48k The Ultra-Scale Playbook 🌌 The ultimate guide to training LLM on large GPU Clusters
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features Paper • 2502.14786 • Published Feb 20 • 142
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation Paper • 2501.09755 • Published Jan 16 • 37
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning Paper • 2501.12948 • Published Jan 22 • 382
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps Paper • 2501.09732 • Published Jan 16 • 72
FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models Paper • 2412.08629 • Published Dec 11, 2024 • 12
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token Paper • 2501.03895 • Published Jan 7 • 53
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response Paper • 2412.14922 • Published Dec 19, 2024 • 89
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners Paper • 2412.17256 • Published Dec 23, 2024 • 48
Diving into Self-Evolving Training for Multimodal Reasoning Paper • 2412.17451 • Published Dec 23, 2024 • 44