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Traditional static assessments rely on a subtractive, deficit-based grading model that often penalizes ambition and o...
As LLMs evolve from code completion systems into autonomous scientific agents, evaluating their ability to conduct ex...
Fault detection and diagnosis (FDD) technology is essential for improving HVAC system reliability, energy efficiency,...
Enterprise workflows increasingly rely on agents for \emph{schema-guided extraction}: given a document and a user-def...
Reinforcement Learning with Verifiable Rewards (RLVR) has driven recent progress in reasoning-oriented large language...
We present N_0-VTLA, a vision-tactile-language-action (VTLA) foundation model capable of (1) fine-grained contact-ric...
Latent world models enable efficient planning by predicting future states in a compact representation space, but thei...
We study empirical scaling properties for text conditioning in visual generation. Such properties have rarely been me...
Polygonal meshes are the standard surface representation of modern 3D pipelines, and generating high-quality meshes w...
Enterprise workflows increasingly rely on agents for schema-guided extraction: given a document and a user-defined sc...
While recent image editing models have made rapid progress, multi-reference editing remains challenging, particularly...
Rubric-based RL has recently shown promise in improving LLMs on open-ended tasks. A widely recognized limitation of r...