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cs.LG2026
A Case Study of Selected PTQ Baselines for Reasoning LLMs on Ascend NPU
Yuchen Luo, Fangyue Zhu, Ruining Zhou +4
Post-Training Quantization (PTQ) is crucial for efficient model deployment, yet its effectiveness on Ascend NPU remains under-explored compared to GPU architectures. This paper pre…
cs.LG2026
Multitask Learning for Earth Observation Data Classification with Hybrid Quantum Network
Fan Fan, Yilei Shi, Tobias Guggemos +1
Quantum machine learning (QML) has gained increasing attention as a potential solution to address the challenges of computation requirements in the future. Earth observation (EO) h…