PAWBench: How Far Are We from Probabilistically Aligned World Modeling?
This work formalizes probabilistic alignment as a distributional criterion for world models and introduces PAWBench, a benchmark for evaluating video generators as stochastic samplers of world dynamics, and introduces PAWEval, an outcome-level protocol that converts repeated video rollouts into empirical distributions over possible physical behaviors.
Yuandong Pu, Le Zhuo, Sayak Paul et al.
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