arXiv
Harness-Zero: Harness Distillation via Agent-as-Harness
Agent harnesses, the external systems that mediate model-environment interaction, can substantially improve agent per...
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arXiv
DexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulation
Dexterous manipulation depends on contact dynamics that are often only partially observable from vision. Recent World...
arXiv
WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory
Video world models enable interactive exploration of dynamic environments, yet struggle to respect prior observations...
arXiv
GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay
Modern video games provide a measurable testbed for AI models, combining abilities of visual understanding, instructi...
HuggingFace
Why Do Video Diffusion Models Violate Physics? Unveiling the Flaws in Attention Mechanisms
Despite impressive visual quality, state-of-the-art video diffusion models often generate content that violates real-...
HuggingFace
Transferring the Intelligence of VLMs to Robotic Control
Humans can seamlessly adapt to both physical and digital worlds, suggesting that while a digital-to-real gap exists i...
HuggingFace
WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory
Video world models enable interactive exploration of dynamic environments, yet struggle to respect prior observations...
HuggingFace
RRSI: Regularized Recursive Self-Improvement of Agent Harnesses
An LLM agent's capability is largely magnified by its harness, namely the prompts, control flow, tooling, memory, and...
HuggingFace
HuRo: Robotizing Human Videos for Scalable VLA Pretraining
Human video datasets offer an abundant and diverse source of interaction data that can complement expensive real-robo...
HuggingFace
Think Like a World Model, Act Like a VLA: Distilling World-Model Representations into Compact Robot Policies
Vision-Language-Action (VLA) models map observations to actions with no objective that accounts for how the world res...
HuggingFace
VideoGen-Agent: Reinforcing Video Generation Agents
Recent advances in video generative models have enabled high-fidelity, temporally coherent video generation. However,...
HuggingFace
Jev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents
Agentic memory is becoming essential for long-horizon AI agents, yet many existing systems rely on autoregressive LLM...