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Applications of Large Language Models in Data Processing: Innovative Approaches to Segmenting and Renewing Information
This paper is the first to enhance specific-domain code generation effectiveness from this perspective.
Diffusion model based data generation for partial differential equations
In a preliminary attempt to address the problem of data scarcity in physics-based machine learning, we introduce a novel methodology for data generation in physics-based simulations.
Systematic Analysis of Image Generation using GANs
The advantages of GANs for image generation over conventional methods as well their disadvantages amongst other frameworks are presented.
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