An Empirical Study of Harness Design for Coding Agents Paper • 2609.20804 • Published 4 days ago • 72
DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression Paper • 2609.19969 • Published 4 days ago • 138
JEPA-Anything: Learning Predictive Models across Different Worlds Paper • 2609.20800 • Published 4 days ago • 58
Continual Learning Mechanisms Compose for Long-Horizon Memorization Paper • 2609.06986 • Published 14 days ago • 367
PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models Paper • 2609.14973 • Published 7 days ago • 171
COBRA-Skills: Contextual Bandit-Guided Evolution for Agent Skill Optimization Paper • 2609.11682 • Published 11 days ago • 44
Breaking the Vision-Action Shortcut: Latent Interface Training for Generalizable Robotics Foundation Models Paper • 2609.12641 • Published 10 days ago • 70
Generative Late-Interaction Embeddings For Visual Document Retrieval Paper • 2609.11808 • Published 11 days ago • 27
Memory as Plans: World-Action Modeling with Memory-Grounded Planning Paper • 2609.11561 • Published 11 days ago • 40
NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness Paper • 2609.08183 • Published 13 days ago • 172
Measuring Language Transfer in Robot Policies: Adding Greek to a Cosmos3 Vision-Language-Action Policy Paper • 2609.07470 • Published 14 days ago • 23
RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks? Paper • 2609.05324 • Published 17 days ago • 28
Procedural Graphs: Self-Evolving Execution Structures for LLM Agents Paper • 2609.09153 • Published 13 days ago • 40
GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation Paper • 2609.05588 • Published 17 days ago • 56
Eliciting Weak-to-Strong Generalization with On-Policy Reverse Distillation Paper • 2609.08798 • Published 13 days ago • 78
OpenWAM: An Open, Modular Exploration Towards Systematic World-Action Model Pretraining Paper • 2609.07398 • Published 14 days ago • 76