Abstract: This paper investigates the efficiency optimization of high-speed surface-mounted permanent magnet synchronous motors (SPMSMs) based on sensorless control. Compared with the Maximum Torque ...
Abstract: In this paper, we consider the model merging process for large language models (LLMs) under a two-stage optimization framework. Traditional merging methods usually apply fixed blending rates ...
RENT is an unsupervised method for training reasoning LLMs by minimizing entropy. We demonstrate on a variety of datasets and models that RENT improves model performance without using any ground truth ...
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