ZendoWorld shows that high labeling accuracy does not equal rule recovery, perception and induction are separate bottlenecks, and VLM agents propose near-uninformative experiments on active visual concept induction.
Minedojo: Building open-ended embodied agents with internet-scale knowledge.Advances in Neural Information Processing Systems, 35:18343–18362
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2representative citing papers
Dream-Cubed releases a billion-scale voxel dataset and 3D diffusion models that generate controllable Minecraft worlds by operating directly on blocks.
citing papers explorer
-
Playing ZendoWorld: Challenging AI Agents on Active Visual Concept Induction
ZendoWorld shows that high labeling accuracy does not equal rule recovery, perception and induction are separate bottlenecks, and VLM agents propose near-uninformative experiments on active visual concept induction.
-
Dream-Cubed: Controllable Generative Modeling in Minecraft by Training on Billions of Cubes
Dream-Cubed releases a billion-scale voxel dataset and 3D diffusion models that generate controllable Minecraft worlds by operating directly on blocks.