Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
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 ...
Abstract: The permanent magnet linear braking (PMLB) has garnered significant attention for its contactless operation and high force density. However, conventional analytical models often exhibit ...
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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