Neural Spectral Capacity: Measuring and Designing Architectures from Network Specification Alone
Modern Transformer design and compression both reduce to allocating capacity under a budget. The standard scalars for...
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Modern Transformer design and compression both reduce to allocating capacity under a budget. The standard scalars for...
Rufus-Air is an open and reproducible post-training recipe on GLM-4.5-Air-Base (106B-A12B), organized as a serial pip...
World-action models (WAMs) transfer visual and motion priors from pretrained video generators to robot control by joi...
Task and motion planning (TAMP) problems remain difficult even with full observability and object-centric states beca...
Sparse AutoEncoders (SAEs) offer a promising way to inspect language model representations, but it is still unclear w...
Task planning bridges high-level instructions and executable behavior in long-horizon manipulation, yet modern Vision...
The rapid capability gains of frontier language models are widely attributed to improved reasoning abilities, yet thi...
We introduce Knowledge Pull Requests (KPRs), a framework for continual document authoring that makes each change inte...
To make claims about representations that generalize beyond a particular trained model, we need to specify when two r...
Collective intelligence depends not only on what team members know, but also on how they organize their work. When th...
Vision-Language-Action models provide a strong foundation for general-purpose robot control, yet a vast majority of p...
The final safeguard against rogue AI behavior is the human ability to shut systems down. It has been theorized that w...