HAF: Adapting Generalist VLAs to Humanoid Whole-Body Loco-manipulation via Hierarchical Action Flow and Spectral Latent RL
Humanoid robots hold great promise as general-purpose agents in human-centered environments, yet generalist vision-la...
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Humanoid robots hold great promise as general-purpose agents in human-centered environments, yet generalist vision-la...
The quadratic cost of attention-based sequence models for long contexts has motivated a growing line of research on m...
Regulatory compliance monitoring in deployed language models is increasingly implemented as a legal and audit control...
A language model's output does not by itself provide verifiable evidence about the internal computation that produced...
We introduce Automatic Symbolic Regression (AutoSR), a fully automated system that instantiates Research-Space Symbol...
The current best bounds on the matrix multiplication exponent $ω$ are obtained through a refinement of the laser meth...
Long-horizon robot manipulation chains many contact-rich skills into one multi-stage task. Vision-language-action (VL...
Video understanding is a fundamental task for evaluating the capabilities of multimodal large language models (MLLMs)...
Self-evolving agents improve future behavior from interaction experience, yet existing evaluations typically optimize...
The current best bounds on the matrix multiplication exponent ω are obtained through a refinement of the laser method...
This paper investigates an increasingly important topic in generative modeling: pixel-space diffusion models. Althoug...
A benchmark should deliver more than a scalar score: what makes an evaluation trustworthy is the reasoning that justi...