Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.

Abstract: Real-time precipitation retrieval is crucial for timely warnings of extreme weather events such as heavy rain or floods. Geostationary satellite observations combined with machine learning ...

We build a 10K math preference datasets for Step-DPO, which can be downloaded from the following link. We use Qwen2, Qwen1.5, Llama-3, and DeepSeekMath models as the pre-trained weights and fine-tune ...