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Matching papers

PhiZero: A World Model Built Around Physical Language

158 upvotes · 30 JUL 2026 · Shuyao Shang, Yuqi Wang, Ruopeng Gao et al.

This paper introduces PhiZero, a world model that uses physical language to predict how the physical world evolves, allowing for more explicit reasoning and potentially more realistic simulations. Practitioners might care because this approach could lead to more realistic and interactive world modeling in applications like robotics, video games, and virtual reality.

physical world modelsself-supervised learningreason-then-render paradigmworld dynamicsphysical language

PAWBench: How Far Are We from Probabilistically Aligned World Modeling?

138 upvotes · 27 AUG 2026 · Yuandong Pu, Le Zhuo, Sayak Paul et al.

This paper evaluates how well current video generation models can reproduce the distribution of possible behaviors under the same initial observation and action, and whether they can be improved to better align with real-world possibilities. Practitioners caring about realistic and diverse video content might be interested in the findings.

video generationworld modelingprobabilistic alignmentstochastic samplersworld dynamics