Abstract: Imbalanced data classification remains a fundamental challenge in machine learning, especially in multi-class scenarios where feature noise, class overlap, and small disjunct sub-concepts ...
FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 23 state-of-the-art ...
Abstract: Utilizing generative adversarial networks (GANs) for oversampling imbalanced data has demonstrated its effectiveness. However, many GAN-based oversampling methods are confronted with a ...
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