CineRecon: Benchmarking Frontier Models for Agentic Cinematic Reconstruction Paper • 2610.16577 • Published 7 days ago • 36
Rethinking World-Action Model for Compositional and In-Context Robotic Manipulation Paper • 2610.02368 • Published 18 days ago • 74
WAVE-0: Bridging VLA Policies and WAMs with Lightweight Latent Future Prediction Paper • 2610.18568 • Published 6 days ago • 47
GroundAnything: Reconciling Parallel Decoding with Precise Visual Grounding at Flash Speed Paper • 2609.39600 • Published 19 days ago • 101
Scaling Agentic Data for Long-Horizon Terminal Intelligence Paper • 2610.13166 • Published 10 days ago • 163
Prospective Hindsight: Self-Calibrating Reinforcement Learning via Prediction-Reality Gaps Paper • 2610.02740 • Published 17 days ago • 11
GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives Paper • 2609.39601 • Published 19 days ago • 322
Relevance Does Not Imply Applicability: Experience Activation for Personal GUI Agents Paper • 2609.33304 • Published 22 days ago • 47
Thinking Inertia: LLMs Keep Thinking When Told Not To Paper • 2610.11765 • Published 11 days ago • 250
Hear the World in Stereo: Learning Dynamic Spatial Correspondence for Immersive Joint Video-Audio Generation Paper • 2609.38748 • Published 11 days ago • 68
A GPU-Parallel Framework for Heterogeneous Multi-Task Reinforcement Learning Paper • 2606.03335 • Published 13 days ago • 33
In-context Robot Learning Made Simple: A Democratized Recipe for Manipulation Tasks Paper • 2609.38173 • Published 20 days ago • 65
ViSkill: Reinforcing VLM Agents with Evolving Visual-Native Skills Paper • 2610.12403 • Published 11 days ago • 18
AutoSciBench: Autonomous Benchmark Generation for Evaluating Scientific Agents Paper • 2610.05140 • Published 15 days ago • 46
Selection-Based Structured Reasoning: Toward Efficient Multimodal Search Agents Paper • 2610.01892 • Published 18 days ago • 38
Benchmarking and Enhancing Skill-Level Memory for Partially Observable Robotic Manipulation Paper • 2609.38886 • Published 19 days ago • 32
RLHND: Video Foundation Models as Physically Grounded Hand Trackers for Robot Learning Paper • 2610.09455 • Published 12 days ago • 46