collaborators

1 paper

cs.AI2026

QuantWAMs: Calibrating at the Right Granularity for World Action Models

Jiacheng Zhou, Jinfan Lv, Ruixuan Li +4

World Action Models (WAMs) jointly predict future observations and actions, but their iterative denoising and closed-loop execution make efficient deployment costly. Existing post-…