arXiv
Where is Physical RSI capability from? An Observational Scaling Law of LLM-as-policy
In this paper, we systematically investigate the mechanisms, scaling behavior, and generalization of physical Recursi...
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arXiv
CoopUQ: Robust Multi-Robot Social Navigation via Uncertainty-Aware Cooperative Forecasting
Reinforcement learning enables mobile robots to make fast and scalable navigation decisions in constrained human-shar...
arXiv
Reinforcement Learning with Visually Attributable On-Policy Self-Distillation
Multimodal reinforcement learning with verifiable rewards (RLVR) provides reliable task-level supervision, yet offers...
arXiv
OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory
Multimodal large language models (MLLMs) have made rapid progress on visual reasoning, yet many tasks require evidenc...
HuggingFace
HandsOn: A Large-Scale Simulation Benchmark for Generalizable Dexterous Manipulation
General-purpose manipulation requires reliable behavior across embodiments, objects, and task demands. We introduce H...
HuggingFace
MemPilot: Orchestrating On-Demand Multimodal Memory Curation for LLM Agents
Memory has become integral to the LLM agent ecosystem, supporting information retention and reuse across interactions...
HuggingFace
Evidence-First Agentic Verification
Long-horizon, semi-verifiable agentic tasks often rely on rubric-based evaluation, but the evidence needed to assess ...
HuggingFace
LIBERO-Industry: Benchmarking Robotic Manipulation under Industrial Process Constraints
Industrial manipulation in flexible manufacturing, e.g., high-mix, low-volume (HMLV) electronics assembly, requires r...
HuggingFace
Sparse Feature Policy Unlearning Mitigates State Hallucination in Vision-Language-Action Models
Vision-Language-Action (VLA) models have shown strong generalization in robotic manipulation by leveraging rich repre...
HuggingFace
Text-to-Image Generative Modeling Without Language Pretraining
Modern text-to-image (T2I) systems use internet-scale language pretraining for text-conditioned image generation. We ...
HuggingFace
SpecMRL: Redesign Matryoshka Representation Learning within Parametric Spectrum
Matryoshka Representation Learning (MRL) is designed to support flexible representation sizes by jointly optimizing n...
HuggingFace
BlenderWorld: Benchmarking Visual Agents for 3D Creation from Real-World References
Recent advances in multimodal large language models (MLLMs) have enabled them to act as autonomous agents, creating a...