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closed-loop inference 1model calibration 1post-training quantization 1robotic manipulation 1world action models 1

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cs.AI2026

QuantWAMs: Calibrating at the Right Granularity for World Action Models

Jiacheng Zhou, Jinfan Lv, Ruixuan Li +4

The paper proposes QuantWAMs, a post‑training quantization framework that tailors quantization decisions to the structure, rollout distribution, and task objectives of World Action…