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Jing Du

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#artificial intelligence Preprint Sep 2026

Predict Before You Deploy: Offline Prediction of Quantization-Induced Task Degradation for World Action Models

PreDE (Predict Before You Deploy), a policy-calibrated framework for predicting quantization-induced task degradation from offline action deviations, supports policy-specific behavioral calibration for quantization configuration selection while identifying candidates that require closed-loop evaluation.

Jiu-Yi Xu, Jin-Jia Guo, Mei-Da Chen et al. · 0 citations

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