PR-OPD: Privileged Representation On-policy Self-Distillation for Agentic Reinforcement Learning Paper • 2609.36642 • Published 17 days ago • 41
S-Space: Exploring Spatial Workspace in Multimodal Language Models Paper • 2610.13527 • Published 6 days ago • 295
A GPU-Parallel Framework for Heterogeneous Multi-Task Reinforcement Learning Paper • 2606.03335 • Published 10 days ago • 28
ReSAIL: Mitigating Collapse in Iterative Agent Self-Distillation Paper • 2609.39306 • Published 16 days ago • 42
AdvSim2Real : Training Web Agents Against Adaptive Prompt Injection in a Web World Model Paper • 2610.08773 • Published 9 days ago • 18
What Makes World Action Models Generalize? An Empirical Study of Test-Time Future Modeling Paper • 2609.34981 • Published 17 days ago • 139
Chinese-Jev: Bringing System One Model to Chinese-Language Tasks Paper • 2609.36965 • Published 17 days ago • 26
Post-Training Leaves Behavioral Shadows on Unrelated Decisions Paper • 2609.29233 • Published 22 days ago • 100
Just Ask Jev: Reinforcement Learning for Calibrated Decisions as a Zero-Shot Detector of AI Alignment Failures Paper • 2609.29429 • Published 22 days ago • 29
Neural Spectral Capacity: Measuring and Designing Architectures from Network Specification Alone Paper • 2609.23087 • Published 27 days ago • 11
The Tasteful Agent: Measuring and Improving Taste in Long-Horizon Tasks Paper • 2609.25804 • Published 24 days ago • 82
Transferring the Intelligence of VLMs to Robotic Control Paper • 2609.22966 • Published 27 days ago • 94
EvoOntology: A Self-Evolving Ontology Layer for Data Agents Paper • 2609.15779 • Published Sep 14 • 145