2 papers
cs.LG2026
Feedback-to-Rubrics: Can We Learn Expert Criteria from Inline Comments?
Kotaro Yoshida, So Kuroki, Yuki Imajuku +4
Large language models (LLMs) are increasingly used for writing and review support, but their usefulness depends on context-dependent criteria, such as expert preferences or organiz…
cs.CV2026
Dream-Cubed: Controllable Generative Modeling in Minecraft by Training on Billions of Cubes
Tim Merino, Sam Earle, Ryunosuke Iwai +2
We introduce Dream-Cubed, a large-scale dataset of Minecraft worlds at voxel resolution, and a family of models using cubes as powerful compositional units for efficient generation…