Don't Drop the BATON: Long-Horizon Robot Manipulation via Agentic Subtask Exploration and Transition-aware Memory
Long-horizon robot manipulation chains many contact-rich skills into one multi-stage task. Vision-language-action (VL...
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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...
Language models hold latent quantities in a form they can report on, and more of a quantity is present in that form w...
Automated checking pipelines increasingly place one language model as the checker and another (or the same one) as th...
We present AnyTalk, a novel method for generating 3D speech animations for arbitrary characters without requiring any...
In collection operations, accumulating payload progressively slows the vehicle, imposing a cumulative penalty on rout...
Boundary representation (B-Rep) generation is a fundamental task in computer-aided design, yet the direct synthesis o...
As AI datacenters retire functional GPUs, vast quantities of still capable accelerators enter secondary markets. This...