Author

Yao Shu

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#machine learning Preprint Sep 2026

Predicting Quantization Price for Selecting PTQ Configurations Before Deployment

Weight-space post-training quantization is formulated as pre-deployment configuration selection using priced layer-output error and a trace reduction then yields a calibration-time price table and a budgeted price-guided selector, making fixed-geometry bit allocation a special case rather than the organizing problem.

Jun-Bin Qiu, Jian Mu, Wei-Tong Zhang et al. · 0 citations

#machine learning Feb 2025

Meta-Prompt Optimization for LLM-Based Sequential Decision Making

The EXPonential-weight algorithm for prompt Optimization} (EXPO) is proposed to automatically optimize the task description and meta-instruction in the meta-prompt for LLM-based agents and is extended to additionally optimize the exemplars (i.e., history of interactions) in the meta-prompt to further enhance the perfor...

Ming-Ze Kong, Zhiyong Wang, Yao Shu et al. · arXiv.org · 7 citations