RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Paper • 2607.06559 • Published 4 days ago • 85
PraMem: Practice-derived Experiential Memory for Long-horizon Behavior Prediction Paper • 2607.02881 • Published 8 days ago • 7
Learning to Move Before Learning to Do: Task-Agnostic pretraining for VLAs Paper • 2607.02466 • Published 9 days ago • 11
One Scene, Two Depths: Probing Geometric Ambiguity in Monocular Foundation Models Paper • 2606.29600 • Published 13 days ago • 4
Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning Paper • 2606.24428 • Published 18 days ago • 52
MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision Paper • 2606.17162 • Published 26 days ago • 176
Skill-MAS: Evolving Meta-Skill for Automatic Multi-Agent Systems Paper • 2606.18837 • Published 24 days ago • 57
Retrospective Harness Optimization: Improving LLM Agents via Self-Preference over Trajectory Rollouts Paper • 2606.05922 • Published Jun 4 • 69
Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models Paper • 2606.11324 • Published Jun 9 • 170
FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents Paper • 2606.12087 • Published Jun 10 • 77
Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Paper • 2606.11926 • Published Jun 10 • 126
Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs Paper • 2605.30611 • Published May 28 • 250
On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Paper • 2606.02437 • Published Jun 1 • 237
From Model Scaling to System Scaling: Scaling the Harness in Agentic AI Paper • 2605.26112 • Published May 25 • 9