Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
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New AI models are worse at SEO: Benchmark shows sharp accuracy drop in Claude, Gemini, ChatGPT-5.1
New AI models are underperforming on SEO tasks. Discover why accuracy is down and how to adapt before these regressions ...
Pricing continues to be one of the most crucial decisions retailers face. Set prices too high, and customers drift away; too ...
Diffusion-SDPO is a plug-in training rule for preference alignment of diffusion models. It computes an adaptive scale for the loser branch based on the alignment between winner and loser output-space ...
Write down the Linear Program (LP) relaxation of an IP Plot the graphical representation of an IP and find the optimal solution Understand the relationship between optimal solution of an IP and the ...
Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...
Abstract: Traditional real estate spatial layout optimization methods often rely on expert experience or rule-based optimization algorithms, and it is difficult to fully tap potential patterns and ...
Official implementation based on the PyTorch and Hugging Face TRL libraries. In the experiments of Sections 4.1 and 4.2, we use the ArmoRM-Llama3-8B-v0.1 reward model as the ground truth reward. We ...
The virtual optimization of power electronic systems is essential for improving the performance and efficiency of modern technology. At the core of this process lies the development of accurate ...
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