Enhancing Post-Training Quantization via Future Activation Awareness Paper • 2602.02538 • Published Jan 28
CtrlCoT: Dual-Granularity Chain-of-Thought Compression for Controllable Reasoning Paper • 2601.20467 • Published Jan 28 • 1
RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks? Paper • 2609.05324 • Published 6 days ago • 20
RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks? Paper • 2609.05324 • Published 6 days ago • 20
RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks? Paper • 2609.05324 • Published 6 days ago • 20
EmbodiedSkills: A Unified Framework for Orchestrating, Training, and Deploying VLA Agents Paper • 2609.01281 • Published 9 days ago • 12
Draft-Thinking: Learning Efficient Reasoning in Long Chain-of-Thought LLMs Paper • 2603.00578 • Published Feb 28 • 2
CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Paper • 2603.00573 • Published Feb 28 • 1
OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis Paper • 2602.16110 • Published Feb 18 • 4
EmbodiedSkills: A Unified Framework for Orchestrating, Training, and Deploying VLA Agents Paper • 2609.01281 • Published 9 days ago • 12