RynnBrain 1.1: Towards More Capable and Generalizable Embodied Foundation Model Paper • 2607.17977 • Published 6 days ago • 196
VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding Paper • 2607.14935 • Published 10 days ago • 169
RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation Paper • 2607.06558 • Published 19 days ago • 79
RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Paper • 2607.06559 • Published 19 days ago • 95
view article Article Keep the Tokens Flowing: Lessons from 16 Open-Source RL Libraries +7 aminediroHF, qgallouedec, kashif, lewtun, edbeeching, albertvillanova, nouamanetazi, lvwerra, sergiopaniego • Mar 10 • 173
Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding Paper • 2604.05015 • Published Apr 6 • 236
DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation Paper • 2601.22153 • Published Jan 29 • 75
PixelRefer: A Unified Framework for Spatio-Temporal Object Referring with Arbitrary Granularity Paper • 2510.23603 • Published Oct 27, 2025 • 26
QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs Paper • 2510.11696 • Published Oct 13, 2025 • 183
High-Fidelity Simulated Data Generation for Real-World Zero-Shot Robotic Manipulation Learning with Gaussian Splatting Paper • 2510.10637 • Published Oct 12, 2025 • 15
MMR1: Enhancing Multimodal Reasoning with Variance-Aware Sampling and Open Resources Paper • 2509.21268 • Published Sep 25, 2025 • 104
RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation Paper • 2509.15212 • Published Sep 18, 2025 • 22
view article Article RynnEC: Bringing MLLMs into Embodied World Alibaba-DAMO-Academy • Aug 14, 2025 • 9