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cs.CL2026
Predicting Quantization Price for Selecting PTQ Configurations Before Deployment
Junbin Qiu, Jian Mu, Weitong Zhang +1
Weight-space post-training quantization (PTQ) must choose finite formats, granularities, quantizer families, transformations, and bits before the completed quantized model reveals…
cs.LG2026
Compander-Aligned Query Geometry for Quantized Zeroth-Order Optimization
Yao Shu, Zilin Zhu
Low-bit forward evaluation is an attractive route to memory-efficient zeroth-order (ZO) adaptation: the optimizer needs only scalar losses, and the model can be queried near deploy…
cs.LG2026
Why Zeroth-Order Adaptation May Forget Less: A Randomized Shaping Theory
Yao Shu, Jian Mu, Zhongxiang Dai
Continual learning requires new-task adaptation without damaging previously acquired capabilities. Recent forward-pass and zeroth-order (ZO) results show that low-query adaptation…