SLA: Scaling Spatial-Language-Action Model via Continual Pre-training Paper • 2611.08373 • Published 5 days ago • 97
Human-to-Robot Transfer via Bridging Representation and Action Space in VLAs Paper • 2611.04391 • Published 7 days ago • 17
SwarmEvolve: Latent Agent Swarms for Evolutionary Discovery and Optimization Paper • 2611.08483 • Published 5 days ago • 9
Harness-S: Learning from Sibling Harnesses for Generalizable Agent Training Paper • 2611.04277 • Published 7 days ago • 67
Running 4.13k The Ultra-Scale Playbook 🌌 4.13k The ultimate guide to training LLM on large GPU Clusters
Running on CPU Upgrade 445 The Ultimate MoE Training Handbook 🧩 445 A hands-on guide to training Mixture-of-Experts models
What Does Multi-Turn Reinforcement Learning Really Improve in LLM Agents? Paper • 2611.06483 • Published 5 days ago • 40
From Pixels to Actions - Towards Native Vision-Language-Action Policies Paper • 2611.06918 • Published 5 days ago • 63
Recursa: Toward Recursively Self-Improving Foundation Model Systems Paper • 2611.04035 • Published 8 days ago • 19
Muon Makes the First Mixture-of-Experts Layer Harder to Balance Paper • 2610.37914 • Published 14 days ago • 6
EvoTeam: Multi-Agent Collaboration via Evolving Teams Paper • 2610.39813 • Published 11 days ago • 29
MAServeBench: Benchmarking Multi-Agent LLM Serving Systems with Hierarchical Collaboration Workloads Paper • 2610.40293 • Published 12 days ago • 11
Video Generation Meets Agent Harness: Agentic Video Generation, Agentic World Modeling and Recursive Self-Improvement Paper • 2610.40191 • Published 11 days ago • 78
CoworkOS:Scaling Agent Coworkers for Real-world Automation Paper • 2611.03178 • Published 7 days ago • 101
Latent Reasoning in Continuous Space for Unified Multimodal Models Paper • 2610.42149 • Published 11 days ago • 46
CEPO: A General Framework for Improving Prompt Optimization in Multi-Agent Systems Paper • 2610.34722 • Published 15 days ago • 27